DESC:TECHNICAL FIELD
[0001] The present disclosure relates to the field of healthcare technology. More particularly, the present disclosure relates to a system and a method for providing personalized condition management for regulating users with Irritable Bowel Syndrome (IBS).

BACKGROUND
[0002] The following description of the related art is intended to provide background information pertaining to the field of the present disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the reader’s understanding with respect to the present disclosure and not as admissions of the prior art.
[0003] Irritable Bowel Syndrome (IBS) is a common functional gastrointestinal disorder with a group of symptoms that occur together, including, but not limited to, abdominal pain or discomfort, bloating, and changes in bowel habits such as diarrhea, constipation, or both. IBS is a chronic condition that can significantly impact a person’s quality of life, although the IBS does not cause permanent damage to the digestive tract.
[0004] Existing methods for monitoring and managing IBS condition may include dietary assessment and modifications, antispasmodic medications, anti-diarrheal medications, supplements, treatments used to manage IBS symptoms, etc. Many of the existing methods may provide dietary modification and Cognitive Behavioural Therapy (CBT), but do not capture the real-time condition of the user at different phases of the IBS program. The existing methods display the diet recipes that need to be consumed but fail to capture the real-time data or symptoms and level of symptom severity experienced by the user. Thus, the existing methods may not be effective in monitoring and managing IBS conditions in a user. Existing models may fail to capture the real-time information, leading to potential misinterpretations and limited generalization. Addressing the challenges requires specialized techniques that consider temporal information, refined feature extraction, contextual understanding, and real-time processing to manage IBS conditions in the user.
[0005] There is, therefore, a need for a system and/or a method that can overcome the shortcomings of the existing prior arts. Thus, it is important for individuals with IBS to obtain a personalized management plan tailored to their specific symptoms and needs. This personalized management plan may involve a combination of dietary modifications, medications, stress management techniques, and lifestyle changes to manage symptoms and improve quality of life effectively.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as listed herein below.
[0007] An object of the present disclosure is to provide a system and a method for regulating Irritable Bowel Syndrome (IBS) in users.
[0008] Another object of the present disclosure is to provide a system and a method that helps individuals gain a deeper understanding of their IBS symptoms, triggers, and patterns. Thus, enabling the healthcare providers to make informed decisions about user’s diet, lifestyle, and treatment options.
[0009] Yet another object of the present disclosure is to provide a system and a method that enables regular monitoring of individuals with valuable data to share with their healthcare providers during appointments.
[0010] Yet another object of the present disclosure is to provide a system and a method that helps individuals to identify specific triggers that exacerbate their IBS symptoms, such as certain foods, stressors, or environmental factors, etc.
[0011] Yet another object of the present disclosure is to provide a system and a method that helps individuals to identify dietary triggers and pinpoint specific foods that are to be avoided in long-term for managing IBS symptoms effectively.
[0012] Yet another object of the present disclosure is to provide a system and a method that minimizes exposure to triggers, reducing the frequency, and severity of symptom flare-ups.
[0013] Yet another object of the present disclosure is to provide a system and a method that helps individuals to identify physiological triggers and provide support in understanding and educating how the triggers are linked to IBS symptoms. This awareness helps the patient in understanding and adopting healthier coping mechanisms.
[0014] Yet another object of the present disclosure is to provide a system and a method that provides individuals with valuable data to share with their healthcare providers during appointments. The information can facilitate productive discussions about treatment progress, symptom management strategies, and the need for adjustments to the condition management plan.
[0015] Yet another object of the present disclosure is to provide a system and a method that provides assessing of IBS and related symptoms to arrive at a categorization or segregation of the users based on the predominant symptom wherein the user can be categorised in one or more of IBS- D category, mostly having diarrhea and abdominal discomfort; IBS-C category, mostly having constipation and abdominal discomfort; IBS-mixed category, mostly having alternating loose stools and constipation with abdominal discomfort; and undefined subtype (IBS-U), where the user shows varying symptoms.
[0016] Yet another object of the present disclosure is to provide a system and a method that provides assessing of IBS and related symptoms to arrive at a categorization or segregation of the users based on one or more predominant symptoms and therein provide curated recommendations on parameters including, but not limited to, diet or food, biological, physical and/or mental activities, and the like.

SUMMARY
[0017] Aspects of the present disclosure relate to the field of healthcare technology. In particular, the present disclosure relates to a system and a method for providing personalized condition management for regulating users with Irritable Bowel Syndrome (IBS).
[0018] An aspect of the present disclosure relates to a personalized health management system to provide recommendations for a user diagnosed with IBS and related symptoms. The personalized health management system includes a processor and a memory. The memory operatively coupled with the processor, wherein said memory stores instructions which, when executed by the processor, cause the processor to receive one or more datasets associated with the user, wherein said one or more datasets comprise, information associated with the user and determine a current IBS symptom score associated with the user based on the received datasets. Further, the processor is configured to compute a target IBS symptom score based on the current IBS symptom score of the user (during enrolment) and recommend a personalized plan, through one or more of the following steps: a) initiate and execute a gut cleansing phase to arrive first IBS symptom score at the end of the gut cleanse phase, b) assess the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute a reintroduction phase to arrive second IBS symptom score at the end of the reintroduction phase, c) assess the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score, and d) assess the third IBS symptom score at a sustenance phase to determine the long term impacts, of the said personalized plan on IBS symptoms, and associated improvements, and optionally further revise the personalized plan to arrive and maintain the target IBS symptom score.
[0019] In an embodiment, wherein said dataset comprises one or more of dietary data, physiological data, one or more biological parameters, psychological data and symptom severity data associated with the user.
[0020] In an embodiment, wherein said current IBS symptom score is determined by collecting and analysing one or more data sets, via user profile, questionnaire, user feedback, wearable device, and the like.
[0021] In an embodiment, wherein said target IBS symptom score is a personalized score set for the user to be achieved at the end of the sustenance phase.
[0022] In an embodiment, wherein to initiate the gut cleansing phase, the processor is configured to identify and eliminate, one or more less compatible foods, and recommend one or more compatible food based on the user profile and current IBS symptom score.
[0023] In an embodiment, wherein said gut cleansing phase optionally includes one or more of personalized diet recommendation, physical and mental activities, compliance assessment, collecting feedback, providing dynamic assessment of first IBS symptom score and providing revised recommendation.
[0024] In an embodiment, wherein said one or more compatible food recipes are identified and recommended by the process, including but not limited to receiving one or more original food recipes from one or more data sources and generating one or more curated food recipes by modifying the one or more original food recipes. Further, the process may include recommending the one or more personalized compatible food recipes to the user.
[0025] In an embodiment, wherein to initiate the reintroduction phase, the processor is configured to reintroduce, one or more less compatible foods, in predetermined and controlled manner to assess the user’s tolerance levels for the less compatible foods.
[0026] In an embodiment, wherein said reintroduction phase optionally includes, one or more of real-time assessment of second IBS symptom score, identifying the symptom triggers, compliance assessment, collecting feedback, recommending revised personalized diet, and physical and mental activities.
[0027] In an embodiment, wherein said one or more less compatible food recipes are identified and recommended by the process, including but not limited to receiving one or more food recipes modified at the gut cleanse phase and generating one or more curated food recipes by reintroducing the one or more less compatible food recipes in the recommended diet plan
[0028] In an embodiment, wherein at the end of said sustenance phase, the processor is configured to generate and display a comprehensive analysis report comprising, compatible food items, less compatible food items, reported symptoms, flare up reports, adherence, revised personalized plan, achieved IBS symptom score, and the like.
[0029] Another aspect of the present disclosure relates to a system to generate one or more curated food recipes for a user diagnosed with IBS and related symptoms, the processor is configured to receive one or more original food recipes from one or more data sources and identify one or more food ingredients in said food recipe. Further, the processor is configured to determine the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutritional requirements and classify the identified one or more ingredients based on one or more of the category, class, variety, nutritional content, compatibility with user’s condition and symptoms associated with the one or more ingredients. Further, the processor is configured to optionally compare the classified ingredients with one or more co-morbid conditions of the user and determine and assign a Gut Index (GI) score to the classified ingredients. Further, the processor is configured to modify or alter one or more food ingredients, when GI score exceeds a threshold level based on one or more of the user’s profile, user preferences, user food compatibility, co-morbid conditions, and the like, wherein said modification includes eliminating, or adding, or replacing or quantifying the ingredients. Further, the processor is configured to generate and recommend the one or more personalised food recipes to the user.
[0030] In an embodiment, wherein the generation of one or more curated food recipe optionally includes, receiving inputs from a food expert for the one or more curated food recipes to ensure balance of nutrition, taste, texture and essence of the original food recipe.
[0031] In an embodiment, wherein the generation of one or more curated food recipe optionally includes, dynamic recommendation of detailed ingredients, preparation steps, cooking instructions, caloric information and micro and macro nutrients for the generated one or more curated food recipes.
[0032] Yet another aspects of the present disclosure relate to a method for personalized health management to provide recommendations for a user diagnosed with IBS and related symptoms, the method includes receiving one or more datasets associated with a user, wherein the one or more datasets comprise information associated with the user and determining a current IBS symptom score associated with the user based on the received datasets. Further, the method includes computing a target IBS symptom score based on the current IBS symptom score of the user and recommending a personalized plan, through one or more of the following steps: a) initiating and executing a gut cleansing phase to arrive first IBS symptom score at the end of the gut cleanse phase, b) assessing the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute a reintroduction phase to arrive second IBS symptom score at the end of the reintroduction phase, c) assessing the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score and, d) assessing the third IBS symptom score at a sustenance phase to determine the long term impacts, of the said personalized plan on IBS symptoms, and associated improvements, and optionally further revise the personalized plan to arrive at and maintain the target IBS symptom score.
[0033] In an embodiment, the dataset includes one or more of dietary data, physiological data, one or more biological parameters, psychological data and symptom severity data associated with the user.
[0034] In an embodiment, the method includes determining said current IBS symptom score by collecting and analysing one or more data sets, via user profile, questionnaire, user feedback, wearable device, and the like.
[0035] In an embodiment, wherein said target IBS symptom score is a personalized score set for the user to be achieved at the end of the sustenance phase.
[0036] In an embodiment, wherein for initiating the gut cleansing phase, the method includes of identifying and eliminating, one or more less compatible foods, and recommend one or more of compatible food based on the user profile and current IBS symptom score.
[0037] In an embodiment, for initiating said gut cleansing phase the method optionally includes, one or more of, recommending personalized diet, physical and mental activities, compliance assessment, collecting feedback, providing dynamic assessment of first IBS symptom score and providing revised recommendation.
[0038] In an embodiment, for identifying and recommending one or more compatible food recipes, the method includes receiving one or more original food recipes from one or more data sources and generating one or more curated food recipes by modifying the one or more original food recipes. Further, the method may include recommending the one or more personalized compatible food recipes to the user.
[0039] In an embodiment, to initiate the reintroduction phase, the method includes reintroducing, one or more of the less compatible foods, in predetermined and controlled manner to assess the user’s tolerance levels for the less compatible foods.
[0040] In an embodiment, for initiating reintroduction phase method optionally include, one or more of, real-time assessment of second IBS symptom score, identifying the symptom triggers, compliance assessment, collecting feedback, recommending revised personalized diet, and physical and mental activities.
[0041] In an embodiment, for identifying and recommending the one or more less compatible food recipes, the method include receiving one or more food recipes modified at the gut cleanse phase and generating one or more curated food recipes by reintroducing the one or more less compatible food recipes in the recommended diet plan.
[0042] In an embodiment, for generating and displaying a comprehensive analysis report at the end of sustenance phase, the method includes of displaying, compatible foods, less compatible foods, reported symptoms, flare up reports, adherence, revised personalized plan, achieved IBS symptom score, and the like.
[0043] Yet another aspects of the present disclosure relates to a method for generating one or more curated food recipes for a user diagnosed with IBS and related symptoms, the method includes receiving by a processor, one or more original food recipes from one or more data sources and identifying, by the processor, one or more food ingredients in said food recipe. Further, the method includes determining, by the processor, the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutritional requirements and classifying, by the processor, the identified one or more ingredients based on one or more of the category, class, variety, nutritional content, compatibility with user’s condition and symptoms associated with the one or more ingredients and optionally comparing, by the processor, the classified ingredients with one or more co-morbid conditions of the user. Further, the method includes determining and assigning, by the processor, a Gut Index (GI) score to the classified ingredients and modifying or altering, by the processor, one or more food ingredients, when GI score exceeds a threshold level based on one or more of the user’s profile, user preferences, user food compatibilities, co-morbid conditions, and the like, wherein the modification includes one or more of eliminating, adding, replacing and quantifying the ingredients. Further, the method includes generating and recommending, by the processor, the one or more personalised food recipes to the user.

BRIEF DESCRIPTION OF THE DRAWINGS
[0044] The accompanying drawings, which are incorporated herein and constitute a part of this invention, illustrate exemplary embodiments of the disclosed methods and systems, which, like reference numerals, refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale; emphasis is instead placed upon clearly illustrating the principles of the present invention. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that the invention of such drawings includes the invention of electrical components, electronic components or circuitry commonly used to implement such components.
[0045] FIG. 1 illustrates an exemplary network architecture of the proposed system for providing recommendations and generating curated food recipes for a user diagnosed with an Irritable Bowel Syndrome (IBS) and related symptoms, in accordance with an embodiment of the present disclosure.
[0046] FIG. 2 illustrates an exemplary block diagram of the system for providing recommendations and generating the curated food recipes for the user diagnosed with the IBS and related symptoms, in accordance with an embodiment of the present disclosure.
[0047] FIG. 3 illustrates a flow diagram for implementing a method for providing recommendations for the user diagnosed with IBS and related symptoms, in accordance with an embodiment of the present disclosure.
[0048] FIG. 4 illustrates a flow diagram for implementing a method for generating the curated food recipes for the user diagnosed with the IBS and related symptoms, in accordance with an embodiment of the present disclosure.
[0049] FIG. 5 illustrates an exemplary system in which or with which embodiments of the present invention can be utilized in accordance with embodiments of the present disclosure.

DETAILED DESCRIPTION
[0050] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above.
[0051] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth.
[0052] The present disclosure relates to the field of healthcare technology. More particularly, the present disclosure relates to a system and a method for regulating Irritable Bowel Syndrome (IBS) in users. The system helps individuals gain a deeper understanding of their IBS symptoms, triggers, and patterns. Thus, enabling awareness to make informed decisions about diet of the user, lifestyle, and treatment options. The system enables regular monitoring of individuals with valuable data to share with their healthcare providers during appointments. The system helps individuals to identify specific triggers that exacerbate their IBS symptoms, such as certain foods, stressors, or environmental factors. The system minimizes exposure to triggers, thereby reducing the frequency and severity of symptom flare-ups. The system provides individuals with valuable data to share with their healthcare providers during appointments. The information can facilitate productive discussions about treatment progress, symptom management strategies, and the need for adjustments to the condition management plan.
[0053] As per the present disclosure, the definitions below cover the personalized condition management, is a patient-centric approach that suggests the curated or customized condition management course that is designed or customized based on the patient’s specific needs, preferences and other relevant factors.
[0054] Current IBS symptom score, as per present disclosure is a score or grading, wherein said score can relate to no symptom, mild, moderate or severe on the basis of user’s symptom severity. The IBS score is assigned to monitor the progress of the condition and treatment effectiveness. The scoring system further provides valuable feedback about the severity of the IBS symptom experienced by the user.
[0055] The term current IBS symptom score, as per the present disclosure refers, to a score or grading that is calculated by measuring one or more datasets associated with the user in terms of a score. The current IBS symptom is measured and scored during the enrolment of the program. Further, the current IBS symptom score is determined by sharing a questionnaire related to IBS symptoms and emotional well-being. The score is calculated by adding a score for each question, that are rated on a scale of 0 – 10. The total score with a lower score indicates higher severity of symptoms and a higher score indicate lower severity and less frequent symptoms.
[0056] Target IBS symptom score, as per the present disclosure refers, to a score that is set as a target to the user and is to be achieved at the end of the program. This score varies from user to user and is dependent on the current medical or health history of the individuals.
[0057] First IBS symptom score, as per present disclosure is a score or grading, wherein said score can relate to no symptom, mild, moderate or severe on the basis of user’s symptom severity. The IBS score is assigned to monitor the progress of the condition and treatment effect. This scoring system may further provide a valuable feedback about IBS symptoms experienced by the user. This scoring is calculated at the end of the Gut cleansing phase.
[0058] Second IBS symptom score, as per present disclosure is a score or grading, wherein said score can relate to no symptom, mild, moderate or severe on the basis of user’s symptom severity. The IBS score is assigned to monitor the progress of the condition and treatment effect. This scoring system may further provide a valuable feedback about IBS symptoms experienced by the user. This scoring is calculated at the end of the reintroduction phase.
[0059] Third IBS symptom score, as per present disclosure is a score or grading, wherein said score can relate to no symptom, mild, moderate or severe on the basis of user’s symptom severity. The IBS score is assigned to monitor the progress of the condition and treatment effect. This scoring system may further provide a valuable feedback about user’s symptoms experienced over the time. This scoring is calculated at the end of the sustenance phase.
[0060] Personalized score, as per the disclosure means, a customized score or grading assigned to the individual and set as a target that is to be achieved at the end of the program. This score varies from user to user and is dependent on the current medical or health history of the individuals. This scoring is calculated at the end of the sustenance phase to check, if the individual has reached the set target score.
[0061] Achieved IBS symptom score, as per the present disclosure, means a score or grading achieved by the individual at the end of the program. This score varies from user to user and is dependent on the feedback received from the individual. This scoring is calculated at the end of the sustenance phase to check, if the individual has reached the target IBS symptom score that is set as a target to the user at the beginning of the program.
[0062] Compatible food, as per the present disclosure, means any edible ingredient, component, or item of food that, when ingested by the user, is easy to digest, absorb, and eliminate by the user’s alimentary canal or the digestive tract and does not cause unwanted side effects or adverse reaction including, but not limited to, nausea, bloating, vomiting, feeling of fullness, diarrhoea, drowsiness, constipation, and the like.
[0063] Compatible food, as per present disclosure includes, but not limited to, one or more food items that are low on fermentable oligosaccharides, disaccharides, monosaccharides, polyols, short-chain carbohydrates, and have low tendency to ferment in the small and large intestines.
[0064] Less compatible food, as per the present disclosure, means any edible ingredient, component, or item of food that, when ingested by the user, is difficult to digest, absorb, and eliminate by the user’s alimentary canal or the digestive tract and may cause one or more of the unwanted side effects or adverse reaction including, but not limited to, nausea, bloating, vomiting, feeling of fullness, diarrhoea, drowsiness, constipation, and the like.
[0065] Less compatible food, as per present disclosure includes, but not limited to, one or more food items that are high on fermentable oligosaccharides, disaccharides, monosaccharides, polyols, short-chain carbohydrates etc. and have high tendency to ferment in the small and large intestines.
[0066] Gut cleanse phase, as per present disclosure includes, the phase wherein the user is recommended to eliminate, substitute, change one or more of the less compatible foods from his/her daily diet with one or more of the compatible foods, to identify specific food triggers/symptoms in the said users.
[0067] Reintroduction phase, as per present disclosure includes, the phase wherein the user is reintroduced with the foods that are eliminated during the gut cleanse phase to identify the personal triggers/symptoms occurring during the reintroduction of the eliminated foods.
[0068] Sustenance phase, as per present disclosure, is a final phase of the program. It focuses on understanding long term impacts, progress and further focuses on developing a long-term care plan to manage IBS condition. During sustenance phase, the health care providers help the individuals in developing sustainable habits for diet, exercise and mental wellness. Further, receives tailored diet plans to the individual’s specific dietary needs and preferences.
[0069] Personalized diet plan, as per present disclosure includes, diet regime that is specifically designed for the user based on one or more of the parameter’s, wherein said parameters can be one or more of the food, lifestyle choices, health conditions, genetic or environmental factors, and the like.
[0070] The term personalized plan, as per the present disclosure, means a care plan that is tailored to an individual need’s. The personalized plan, includes, but not limited to, care, support, diet, physical and mental activities that are specifically designed to the individual as per their need and helps in improving their health and well-being.
[0071] Revised personalized plan, as per present disclosure is a revision or modification, wherein the initial tailored plan for an individual is adjusted and updated over time based on the changes in the IBS score. The revised personalized plan, includes, but not limited to, care, support, diet, physical and mental activities that are specifically designed to the individual as per their progress and helps in improving their health and well-being.
[0072] The term revised recommendations, as per present disclosure is a revision or modification, wherein the initial tailored plan for an individual is adjusted and updated over the time based on the changes in the IBS score. The revised personalized plan, includes, but not limited to, care, support, diet, physical and mental activities that are specifically designed to the individual as per their progress and helps in improving their health and well-being.
[0073] Triggers, as per the present disclosure is a stimulus that brings out a reaction such as physical or emotional reaction, which can aggravate the IBS symptoms. Triggers can happen internally or externally and they vary from individual to individual. The triggers, as per the present disclosure, include, but is not limited to, dietary triggers, and psychological triggers.
[0074] Symptom, as per the present disclosure means, something that an individual feels or experiences that may indicate that the individual has a disease or condition that is reported by the individual. The core symptoms experienced by the user, as per the disclosure, include, but not limited to, diarrhea, constipation, bloating, abdominal pain, and the like.
[0075] Long term impacts, as per the disclosure is a long lasting effect that can significantly impact the individual’s life and health due to prolonged exposure to certain symptoms or triggers related to IBS. The long term impacts of IBS on an individual, include, but is not limited to, quality of life, mental health, work disruption, lack of focus or concentration, physical health, and the like.
[0076] The term associated improvements, as per the disclosure mean, especially wherein said improvements related to IBS are specifically targeted for an individual. The associated improvements for IBS individuals include, but is not limited to reduced abdominal pain, decrease bloating, more regular bowel movements, better stool consistency, improved quality of life, and the like.
[0077] User profile, as per the disclosure is a collection of information associated with the user and describes the health condition of the user. The user profile, includes, but is not limited to, demographic information, psychological information, user behaviour, medical information, job and education information, medication, user preferences, and the like.
[0078] The term questionnaire, as per the disclosure is a list of questions that can be used to collect the health and emotional details of an individual. This data helps in identifying the lifestyle risk factors, assess IBS symptom score, and helps in better understanding of the symptoms and triggers, frequency and severity of the symptoms experiencing by the individual over a period.
[0079] User feedback, as per the disclosure is a valuable source of information provided by the user to identify the improvements or sufferings during or after the program. The user feedback that is being recorded at each phase of the program is used in calculating the IBS score. The benefits of collecting user feedback, include, but is not limited to, healthcare provider can understand the progress of the patient and make necessary adjustments in the personalized plan, improve patient outcomes, improves patient satisfaction, allow family members or caregivers to monitor and manage the IBS condition of the user, and the like.
[0080] The compliance assessment, as per the present disclosure, means evaluating and assessing the adherence of the individual, if the individual is following the prescribed diet, physical activity, medical activity, medication, timely reporting, and the like.
[0081] Real-time assessment, as per the present disclosure refers to evaluate an individual’s health condition in real-time using the data points shared by the user. This real-time assessment helps the system and healthcare providers to make quick decision, provide better care, allow earlier identification of symptoms and triggers.
[0082] Comprehensive analysis report, as per the present disclosure, involves in gathering, analysing data points and displaying a detailed report to gain a holistic view of patient’s progress over a period of time. This comprehensive report helps in analysing the results and provides valuable information for decision making or making adjustments in the personalized plan.
[0083] The term collecting feedback, as per the present disclosure, means the process of gathering insight and overall experience of the individuals over a period of time. This includes, but is not limited to, taking overview or opinion on the provided personalized plans, making comparisons on previous experiences. This collection of feedback is crucial and provides valuable insights to the healthcare providers and making adjustments in the plans as per the progress recorded by the individuals.
[0084] The term physical activities, as per the present disclosure, means any movement of the body that requires energy expenditure and is important for everybody to maintain a healthy life style. The physical activities that can be beneficial for managing IBS, include, but is not limited to, walking, swimming, cycling, yoga, meditation, low-impact aerobics, body weight exercises, and the like. The benefits of performing these physical activities are meant for reduction in stress, which can often trigger IBS symptom, improved bowel regularity, which can promote healthy bowel movements, positive impact on gut microbiota, which can positively influence in reducing IBS symptoms, and the like.
[0085] The term mental activities, as per the disclosure, are the activities that can encourage, activate or strengthen the mind. The mental activities that can be beneficial for managing IBS, include, but is not limited to, breathing exercise, meditation, progressive muscle relaxation, yoga and cognitive behavioural therapy (CBT), and the like. These activities mainly focus on stress management.
[0086] The term one or more data source, as per the disclosure, means a data source that provides food recipes including, but is not limited to, food related database, internet source, human sources, institutional sources, books or magazines and the like.
[0087] The term original food recipes, as per the disclosure, means a recipe for a dish from the known sources.
[0088] Curated food recipe, as per the present disclosure, refers to a dish or meal that are specially curated by making modifications or replacing the ingredients from the selected recipe as per the user preferences, comorbid/health condition, IBS score, and the like.
[0089] One or more personalized compatible food recipes, as per the present disclosure, means any edible ingredient, component, or item of food that, when ingested by the user, is easy to digest, absorb, suitable to his/her medical condition, and eliminate by the user's alimentary canal or the digestive tract and does not cause unwanted side effects or adverse reaction including, but not limited to, nausea, bloating, vomiting, feeling of fullness, diarrhoea, drowsiness, constipation, and the like.
[0090] One or more ingredients, as per the present disclosure, refers to a part of a mixture that is used to make a food recipe or a particular dish.
[0091] Nutrition or nutritional requirements, as per the present disclosure, mean the amount of nutrients that are required for an individual to be healthy and lead a normal life. This nutritional requirement varies from person to person. The factors that affect nutritional requirement, include, but is not limited to, age, sex, weight, activity level, medical condition, medication, physiological state, and the like.
[0092] The one or more co-morbid conditions, as per the present disclosure, include, but are not limited to, a gastrointestinal disorder, a Mental Health Disorder, Chronic Pain Disorders, Chronic Fatigue Syndrome (CFS), and the like.
[0093] The term category, as per the present disclosure, relates in categorizing the classified ingredient. This categorization depends on the ingredient that is identified within the recipe. This categorization indicates the ingredient as main ingredient, base ingredient and side ingredient.
[0094] The term class, as per the present disclosure, relates in classifying the identified and categorized ingredient based on the compatibility. This classification plays a crucial role in eliminating, adding, replacing, and quantifying the ingredients. Wherein said classification of the categorized ingredient is indicated as low compatible, moderate compatible and high compatible ingredient(s).
[0095] The term compatibility, as per the present disclosure, means the food or ingredient when paired with certain quantity of other ingredients is suitable or compatible and does not trigger the symptoms related to IBS. The compatibility of the ingredient with the individual depends on the health condition, user preferences, comorbid condition, IBS triggers, frequency of the core IBS symptoms, and the like.
[0096] The Gut Index (GI) score, as per the present disclosure, means assigning a score to the classified ingredient based on multiple factors like comorbid condition of the user, user preferences, user profile, and the like.
[0097] The food expert, as per the present disclosure, refers to a professional who has specialized knowledge of food, nutrition, preparation, and other aspects. The food expert can be, include, but is not limited to, food scientist, chef, nutritionist, food specialist, and the like.
[0098] As per the present disclosure, the term phase and state are interchangeable. Thus, the present disclosure is important for individuals with the IBS to work closely with the system that involves healthcare providers, nutritionist, psychiatrist, and the like to develop a personalized management plan tailored to specific symptoms and needs of the individuals. Further, the present disclosure may involve a combination of dietary modifications, medications, stress management techniques, and lifestyle changes to manage symptoms and improve quality of life effectively.
[0099] The terms “personalized health management system” and “system” are interchangeably mentioned throughout the specification.
[0100] The terms “user”, “individual” and “subject” refers to a person who interacts with a system. These terms are interchangeably mentioned throughout the specification.
[0101] The terms “program” and “care plan” refers to a set of actions or activities designed to achieve a specific goal. These terms are interchangeably mentioned throughout the specification.
[0102] The terms “cleanse regime module”, “gut cleanse module” and “gut cleanse phase” are interchangeably mentioned throughout the specification.
[0103] The terms “reintroduction module” and “reintroduction phase” are interchangeably mentioned throughout the specification.
[0104] The terms “sustenance module” and “sustenance phase” are interchangeably mentioned throughout the specification.
[0105] Various embodiments of the present disclosure will be explained in detail with respect to FIG’s. 1-5.
[0106] FIG. 1 illustrates an exemplary network architecture (100) of the proposed system (102) (e.g., a personalized health management system) for regulating IBS in users, in accordance with an embodiment of the present disclosure.
[0107] In an embodiment, referring to FIG. 1, the system (102) may be connected to a network (104), which is further connected to at least one computing device (108-1, 108-2, … 108-N) (collectively referred as computing device (108), herein) associated with one or more users (106-1, 106-2, … 106-N) (collectively referred as users (106), herein). Additionally, a centralized server (110) may be connected to the system (102) to facilitate data processing, storage, and communication between the computing devices (108) and other components of the system (102). The centralized server (110) may also manage authentication, system updates, and analytics to enhance system performance and security.
[0108] In an exemplary embodiment, the computing device (108) may include, but not be limited to, a computer-enabled device, a mobile phone, a smartphone, a tablet, a laptop, a display device, a smart watch, a handheld device, a surveillance camera, an automatic teller machine, and a point of sale, a kiosk, and a smart doorbell, a smart home device, an Augmented Reality/Virtual Reality/Mixed Reality (AR/VR/MR), an imaging device, a display projector, a Remote Detection Service (Detection Device) enabled devices such as iBeacon technologies, or some combination thereof. A person of ordinary skill in the art will understand that at least one computing device (108) may be individually referred to as a computing device and collectively referred to as a computing device (108).
[0109] In an exemplary embodiment, the network (104) may include, but not be limited to, at least a portion of one or more networks having one or more nodes that transmit, receive, forward, generate, buffer, store, route, switch, process, or a combination thereof, etc. one or more messages, packets, signals, waves, voltage or current levels, some combination thereof, or so forth. In an exemplary embodiment, the network (104) may include, but not be limited to, a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet-switched network, a circuit-switched network, an ad hoc network, an infrastructure network, a Public-Switched Telephone Network (PSTN), a cable network, a cellular network, a satellite network, a fibre optic network, or some combination thereof.
[0110] In an embodiment, the system (102) may be used in multiple applications, including security, access control, and user experience customization. The system (102) may play a pivotal role in payment authentication, law enforcement, healthcare for patient identification, retail analytics, and emotion analysis. Additionally, the system (102) may be integrated into the computing device (108) for secure user authentication and augmented reality applications, enriching user interactions. The computing device (108) may be configured to capture the input data of the users in real-time. The users may include, but not limited to, individuals, patients, customers, visitors, operators, subjects, and the like. The input data may include, but is not limited to, bowel habits, dietary intake, symptoms and severity, stress levels, medication, medical condition, and the like.
[0111] In an embodiment, the system (102) includes one or more processors (202) (refer FIG. 2), and a memory (204) (refer FIG. 2) coupled to the one or more processors (202), wherein said memory (204) stores instructions which, when executed by the one or more processors (202) cause the system (102) to receive the input data from the computing device (108) associated with the users (106).
[0112] In an embodiment, the system (102) may be configured to monitor the IBS condition of a user through a dedicated application that offers a streamlined and effective way for individuals to track their symptoms, identify triggers, and manage their condition more proactively. Further, by inputting information about their symptoms and severity, bowel habits, diet, medical condition, stress levels, and other relevant factors into the application on a regular basis, the users (106) can gain valuable insights into their IBS patterns and trends over time. Thereby, a data-driven approach enables individuals to detect early signs of symptom flare-ups, optimize condition management strategies, and make informed decisions about their health. Additionally, the application may facilitate communication with healthcare providers by providing comprehensive and up-to-date information that may facilitate productive discussions during appointments about treatment progress, symptom management strategies and the need for preferred adjustments to the condition management plan. With features such as personalized reminders, symptom tracking, and educational resources, an IBS monitoring application empowers individuals to take control of their condition, improve symptom management, and ultimately enhance their overall quality of life despite the challenges posed by the chronic gastrointestinal disorder.
[0113] In an embodiment, the system (102) may be an integrated platform for the health management of a medical condition like IBS syndrome. The system (102) can be configured to execute four phases, which include a discovery phase, a gut cleanse phase, a reintroduction phase, and a sustenance phase. The system (102) can enable the registration of a user with the platform to provide access to the integrated care offered by the platform. During registration, the user may provide a plurality of datasets associated with the user, wherein said input datasets pertains to one or more parameters related to the user. One or more parameters include but are not limited to physiological data, psychological data, mental data, dietary data, lifestyle data, symptom severity data, and the like.
[0114] Further, the system (102) can be configured to determine the current IBS symptom score of the user based on the datasets. The system (102) can be configured to compute a target IBS symptom score based on the current IBS symptom score of the user. Further, the system (102) can be configured to recommend a diet plan with compatible recipes to the user to initiate a gut cleanse phase and arrive at the target IBS symptom score. Further, at the reintroduction phase, the less compatible foods are re-introduced in smaller doses to identify the personal dietary triggers. Finally, in the sustenance phase a final personalized diet plan and curated routine for maintaining and or improving physical and mental activities are devised for the user, in order to maintain the target IBS symptom score.
[0115] In an embodiment, the datasets include, physiological state, that may include, but are not limited to, sleep-wake cycles of the user, which plays a critical role in physical and mental health and well-being, the quality of food and drink consumed, age, gender, getting enough relaxation, heart rate, blood pressure, respiratory rate, body temperature, glucose levels, abnormal motility and sensitivity, brain-gut interaction, etc.
[0116] In an embodiment, the datasets include, psychological state, this term as per the present disclosure refers to an information collected about a user’s mental and emotional state. Wherein the psychological data, may include, but are not limited to, one’s lifestyle, mood, like work and stress levels, personality traits, a history of physical or sexual abuse, physical activity, social interaction patterns and behavioural trends, and the like. For example, chronic life stress includes divorce, relationship difficulties, serious illness (of self or other), lawsuits, business failures, housing difficulties, and forced redundancies. IBS symptoms are sometimes exacerbated by stress and can be associated with psychological co-morbidities.
[0117] In an embodiment, the datasets include, psychological state of the user with an IBS condition may further be affected by the most common co-morbid psychiatric disorders, including, but are not limited to, anxiety disorders (panic and generalized anxiety disorder), depression (including dysthymia), somatoform disorders (hypochondriasis and somatization disorder) and phobic disorders. The others include, but are not limited to, psychiatric disturbance and personality (trait anger reactivity, neuroticism, extroversion, and general hypochondriasis) were strongly related to the patient’s behaviour and overall severity of functional gut disturbance.
[0118] In an embodiment, the datasets include, dietary data that refers to an information collected about the food and beverages consumed by a person over a specific period (e.g., a day or a week). Wherein the dietary data, as per the present disclosure includes, but are not limited to, food intake patterns, food type, quantity consumed, portion sizes, meal frequency, nutrient intake (macronutrients like carbohydrates, protein, fat, and micronutrients like vitamins and minerals), dietary patterns, food allergies or intolerance, supplement usage, cooking methods and meal timing, and the like.
[0119] In an embodiment, the datasets include, demographic information, that may include, but is not limited to, age, gender, location, address, contact details, and the like.
[0120] In an embodiment, the datasets include, one or more biological parameters, that may include, organism’s biology, including genetic makeup, protein levels, cellular function, and even environmental factors.
[0121] In an embodiment, the datasets include, medical history, that may include, but are not limited to, existing medical condition, family medical history, allergies, past underwent surgeries, immunization records, healthy habits such as diet, exercise and lifestyle factors, current and past medications, and the like.
[0122] In an embodiment, the datasets include, social history, that refers to collection of data about the user’s lifestyle and personal habits. Wherein the social history, as per the present disclosure includes, but not limited to, occupation, education, marital status, diet, exercise routine, alcohol consumption, smoking history, travel history, and the like.
[0123] In an embodiment, the datasets include, symptom severity level, that refers to a self-administered questionnaire that is developed to assess the frequency or severity of symptoms experienced by the patient or user with respect to mental or physical health condition before/during/after the enrolment of the program, wherein, the system severity levels can be measured and indicated as high, low, medium, moderate, and the like.
[0124] In an embodiment, the food triggers of IBS symptoms include, but are not limited to, sugary foods such as dried fruit, apples, mangoes, watermelon, high-fructose corn syrup, and the like. Foods with polyols include, but are not limited to, apples, apricots, avocados, cherries, nectarines, peaches, cauliflower, and the like. Foods with lactose include, but are not limited to, milk, cheese, ice cream, yogurts, and the like. In an embodiment, the wellness plan/activity of the present disclosure may include, but is not limited to, physical exercises, breathing exercises, yoga, meditation, and the like.
[0125] In an embodiment, during the discovery phase, the system (102) can be configured to determine current IBS symptom score based on the user input datasets. In the discovery phase, the current IBS symptom score is assessed based on the questionnaire shared with the user, wherein the questionnaire includes, but is not limited to, recording or rating the severity of the user’s core IBS symptoms, recording or rating the frequency of the IBS symptoms, impacts of IBS on their quality of life, and the like. Based on the current IBS symptom score, the system (102) computes a target IBS symptoms score and sets goals and routines for the user to achieve the target IBS symptom score. The current IBS symptom score is calculated by adding the scores that are rated by the user for each question and the overall score generated for the patient, ranges from 1 to 100. The lower score indicates higher severity of symptoms and higher scores indicate lower severity and less frequent symptoms. The system (102) sets the goal, i.e., target IBS symptom score, to achieve a value higher than the current IBS symptom score.
[0126] In an embodiment, the system (102) is configured to generate IBS symptom score at every phase of the care plan to track the patients progress. The first phase of calculating IBS symptom score is during on boarding, i.e. Discovery phase, this scoring helps in understanding the baseline symptoms experienced by the user. This phase also helps in understanding the user goals, user preferences, medical condition, co-morbidities, likes, and dislikes, etc. The second phase of calculating IBS symptom score is Gut cleanse phase at week 5 of the care plan, this scoring helps in accessing the improvement after elimination less compatible foods and recommending compatible foods and identifying specific food triggers/symptoms experienced by the user. The third phase of calculating IBS symptom score is Reintroduction phase at week 11 of the care plan, this scoring helps in assessing and identifying dietary triggers after introducing less compatible foods that are eliminated at the Gut cleanse phase. The fourth phase of calculating IBS symptom score is at the end of the care plan i.e. Sustenance phase at week 14 of the program, this scoring helps in understanding the long-term impacts and progress of the user by comparing the achieved IBS score with the set target IBS symptom score.
[0127] In another embodiment, the system (102) is configured to compare the scores achieved at the four phases. This comparison helps the healthcare provider and patients to track improvements and identify any persistent symptoms that need to be addressed.
[0128] In another embodiment, during the discovery phase, the system (102) can be configured to determine current IBS symptom score based on the user input datasets. In the discovery phase, the current IBS symptom score is assessed based on the severity of the user’s IBS symptoms. Based on the current IBS symptom score, the system (102) sets the goals and routines that are to be achieved. If the current IBS symptom scoring is ranging between 30 to 40, the system (102) sets the goal, i.e., target IBS symptom score, to a value that is at least 20% higher than the current IBS symptom score.
[0129] In an embodiment, during the gut cleanse phase, user can be subjected to one or more personalized compatible food recipes for a pre-determined period. The system (102) receives one or more original food recipes from one or more data sources. Further, the system (102) can be configured to generate curated food recipes by optionally considering at least one of the steps, such as, substituting, eliminating, and changing a few ingredients. These curated recipes are further validated and curated by a chef or nutritionist for correct conversion. Additionally, the system (102) identifies one or more personalized compatible food recipes from the validated curated food recipes based on multiple filtering parameters like triggers, allergies, co-morbidity conditions, user preferences, and goals set in the discovery phase.
[0130] In an embodiment, the user can be monitored for compliance with dietary plan, wellness plan, exercise, and habits to achieve improvement in IBS symptom score and in order to assess a first IBS symptom score. The system (102) also continuously recommends changes in the wellness plan, exercise, and dietary plan to achieve the target IBS symptom score.
[0131] In another embodiment, the system (102) further receives a feedback from the user during or at the end of the Gut cleanse phase. Further, the system (102), assess the first IBS symptom score based on the received feedback to understand the improvement after recommending the compatible foods for a certain period of time. Further, the system (102), progresses the user from gut cleanse phase to the reintroduction phase.
[0132] In another embodiment, the system (102), assess the first IBS symptom score based on the received feedback to understand the improvement after recommending the compatible foods for a certain period of time. If, the user is diagnosed with reduced or no symptoms in the gut cleanse phase, then it is considered that the user can be progressed to the reintroduction phase by recommending a revised personalized plan. If, the user is diagnosed with no improvement with respect to the symptoms in the gut cleanse phase, then the user is recommended with a revised personalized plan and to be continued with the revised plan for a specific period of time.
[0133] In an embodiment, during the reintroduction phase, the system (102) can be configured to recommend by reintroducing less compatible food recipes to the user along with a wellness plan, exercise, and suggest changes in the routines. Further, the system (102) continuously tracks and monitors the changes in the IBS symptoms and severity, dietary triggers when the user is exposed to less compatible food recipes. Further, the system (102) continuously receives feedback from the users regarding the IBS symptoms and severity level when exposed to the less compatible food recipes. Further, the system (102) assess a second IBS symptom score to understand the improvement in the current IBS symptom score at the reintroduction phase. Alternatively, the system (102) dynamically recommends changes in the wellness plan, exercise, dietary plan that are personalized to the user to experience improvement in symptoms or mental illness and reach the target IBS symptom score.
[0134] In another embodiment, the system (102), assess the second IBS symptom score based on the received feedback to understand how symptoms have changed after reintroducing the less compatible foods that are eliminated during the gut cleanse phase. If the user is diagnosed with reduced or no symptoms in the reintroduction phase, then it is considered that the user can be recommended with a revised personalized plan catering to the user that must be followed to sustain the target IBS symptom score and stabilized condition of IBS in the user. If, the user is diagnosed with no improvement with respect to the symptoms in the reintroduction phase, then the user is recommended with a revised personalized plan and to be recommended to continue with the revised plan for a specific duration or till a marked second IBS symptom score is achieved. Further, the system (102), progresses the user from reintroduction phase to the sustenance phase to understand the long term impacts and to assess the progress of the user at the end of the program.
[0135] In an embodiment, during the sustenance phase, the system (102) can be configured to recommend a revised personalized plan for a pre-determined period. Further, the system (102), assess a third IBS symptom score at the sustenance phase to determine the long term impacts, of the revised personalized plan on IBS symptoms, and associated improvements. Further, the system (102), receives feedback from the user during or at the end of the sustenance phase. Further, the system (102), assess the third IBS symptom score based on the received feedback. Further, the system (102), determines the long term impacts, of the said personalized plan on IBS symptoms, and associated improvement based on the assessed third IBS symptom score. If the assessed third IBS symptom score is up to the target IBS symptom score set for the user to be achieved at the end of sustenance phase. Then the user is recommended to continue the revised personalized plan to maintain the target IBS symptom score. If there is reduction in the assessed third IBS symptom score in comparison with the target IBS symptom score, then the user is recommended with a further revised personalized plan to arrive and maintain the target IBS symptom score.
[0136] In another embodiment, the system (102) is configured to receive regular or periodical feedback from the user regarding the symptoms experienced by the user at every phase of the care plan and this feedback helps in refining the personalized plan.
[0137] In an embodiment, the system (102) may be configured to recommend one or more personalized compatible food recipes, which include receiving one or more original food recipes from one or more data sources. Further, the system (102) generates a plurality of curated food recipes by converting the original food recipes received from one or more data sources. Additionally, the user can receive validation input from an expert on the plurality of curated food recipes. Furthermore, the system (102) can identify one or more personalized compatible food recipes from the validated curated food recipes based on one or more triggers/allergies, co-morbidity conditions, user preferences, and target IBS symptom score. Finally, the system (102) recommends one or more personalized compatible food recipes to the user.
[0138] In an embodiment, the system (102) may be configured to generate the curated food recipes by converting the original food recipes, including identifying one or more food ingredients from the original food recipe and generating standardization of measurement of the identified ingredients. Further, the system (102) may be configured to determine the nutrition value and quantify the identified one or more food ingredients based on the user’s daily nutrition requirements and classify the identified one or more ingredients based on one or more of category, class, variety, nutritional content, and compatibility with user’s condition and symptoms associated with the one or more ingredients. Further, the classified ingredients are associated with one or more co-morbid conditions. The one or more co-morbid conditions of the user can include, but are not limited to, a gastrointestinal disorder, a Mental Health Disorder, Chronic Pain Disorders, Chronic Fatigue Syndrome (CFS), and the like. Further, the system (102) performs one or more steps on the identified one or more food ingredients based on the co-morbid conditions of the user. One or more steps can include, but are not limited to, an elimination, an addition, a replacement, a quantification, and the like on the food ingredients. Finally, the system (102) can be configured to curate the original food recipes based on replacing or quantifying the identified one or more food ingredients and recommend the one or more curated personalized food recipes to the user.
[0139] FIG. 2 illustrates an example block diagram (200) of a system (102), in accordance with an embodiment of the present disclosure.
[0140] In an aspect, referring to FIG. 2, the system (102) may include one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in the memory (204) of the system (102). The memory (204) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer-readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory (204) may include any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[0141] Referring to FIG. 2, the system (102) may include an interface(s) (206). The interface(s) (206) may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication to/from the system (102). The interface(s) (206) may also provide a communication pathway for one or more components of the system (102). Examples of such components include, but are not limited to, processing unit/engine(s) (208) and a local database (210).
[0142] In an embodiment, the processing unit/engine(s) (208) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In the examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the system (102) may include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the system (102) and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry.
[0143] In an embodiment, the database (210) may include data that may be either stored or generated as a result of functionalities implemented by any of the processor (202) or the processing engines (208) components. In an embodiment, the database (210) may be separate from the system (102).
[0144] In an exemplary embodiment, the processing engine (208) may include one or more engines selected from any of a diagnosis module (212), a cleanse regime module or a gut cleanse module (214), a reintroduction module (216), a sustenance module (218), a computation module (220), a classification module (222), and other modules (224) having functions that may include but are not limited to testing, storage, and peripheral functions, such as a wireless communication unit for remote operation, an audio unit for alerts, and the like.
[0145] In an embodiment, the diagnosis module (212) may be configured to receive input data (e.g., datasets) from a user and segment the input data into a plurality of features to diagnose the symptoms pertaining to the IBS. The plurality of features includes, but are not limited to, abdominal pain, discomfort, bloating, urgency, fatigue, and sleep disturbances, dietary data, physiological state data, biological parameters, mental state, psychological state, personalization data, and social history, and symptom severity level, and the like.
[0146] In an embodiment, the computation module (220) may determine the current IBS symptom score of the user based on the received datasets. Further, the computation module (220) may be configured with an Artificial Intelligence (AI) model to determine the current IBS symptom score based on a comparison of the retrieved symptoms and severity of the user with predefined symptoms and severity data of the AI model. In an embodiment, the computation module (220) may compute a target IBS symptom score based on the current IBS symptom score of the user. In an embodiment, the target IBS symptom score is a personalized score set for the user to be achieved at the end of the sustenance phase.
[0147] In exemplary embodiments, the target IBS symptom score may refer to a personalized score determined for a user. The target IBS symptom score may represent the desired symptom score to be achieved by the user at the conclusion of the sustenance phase of the care plan. The target IBS symptom score may serve as an improvement benchmark derived from factors such as the current IBS symptom score of the user, historical health data, adherence to dietary recommendations, participation in wellness activities, and observed symptom patterns and trends.
[0148] The calculation of the target IBS symptom score may involve a systematic process that integrates user-specific data with predictive algorithms. The process incorporates various input parameters, including the current IBS symptom score, which represents the baseline symptom state of the user. Weekly or periodic reporting of symptom trends that are analysed to identify patterns of improvement or episodes of worsening symptoms. Meal adherence and wellness adherence percentages are also considered to predict the user’s progress trajectory. Additionally, data regarding identified food triggers and their safe portions are factored into the calculations to ensure dietary alignment. Aggregated data from other users with similar profiles, such as age, condition severity, and lifestyle factors, is used for comparative analysis. Expert feedback from healthcare professionals may also be included in the computation of the personalized score or target IBS symptom score.
[0149] In an embodiment, a score computation technique begins with baseline adjustment, wherein the first IBS symptom score is assessed to identify the recent improvements or setbacks observed during the gut cleanse phase. Weight is assigned to parameters such as dietary adherence, wellness adherence, and symptom trends, based on their relative influence on IBS symptom progression. The techniques employs regression analysis or machine learning models to project the user’s symptom score trajectory over the sustenance phase. The personalized target IBS symptom score is achieved by taking into account the user’s historical adherence, response to dietary modifications, and identified triggers. If, the final target IBS symptom score determined is a value higher than the current IBS symptom score, represents an anticipated improvement. For instance, if the current IBS symptom score is 32, the target may be set between 60 to 70, depending on the computed trajectory of improvement. In an embodiment, the user with a current IBS symptom score of 40 demonstrates consistent improvements, with adherence to 80% of the meal plan and 70% of the wellness activities. Based on the observed improvement trend, the system determines that a 20% improvement in symptoms is feasible and sets the target score at 80.
[0150] In an embodiment, the system (102) continuously monitors the user’s progress throughout all the four phases. If significant deviations from the expected trajectory occur due to reduced adherence or the identification of new triggers, the system revises and recommends a personalized plan at each phase. This ensures that the system, dynamically revises and recommends the modifications within the personalized plan to support in gaining a sustainable improvement in the user’s IBS condition.
[0151] In an embodiment, further the method comprises training an AI model based on historical data associated with the physical and psychological symptoms and severity of symptoms experienced by plurality of users. In an embodiment, further the method comprises training the AI model based on historical data associated with nutritional data, measurement data, type and compatible ingredients values, and the user’s co-morbid conditions.
[0152] In an embodiment, the system (102) may include the gut cleansing module (214), which may be configured to enable cleansing or detoxifying the user’s gut. In an embodiment, the gut cleanse module (214) can be configured to recommend a personalized plan with compatible recipes to the user to initiate and execute a gut cleansing phase to arrive first IBS symptom score at the end of the gut cleanse phase. In an embodiment, to initiate the gut cleansing phase, the gut cleanse module (214) may be configured to identify and eliminate, one or more of less compatible foods, and recommend one or more of compatible food based on the user profile and current IBS symptom score. This elimination of low compatible foods helps in reducing inflammation, gut irritation, and other symptoms that are caused by the consumption of low compatible foods.
[0153] In an embodiment, to initiate the gut cleansing phase, the gut cleanse module (214) may be configured to identify and eliminate, one or more of less compatible foods, and recommend one or more of compatible food based on the user profile and current IBS symptom score. In an embodiment, the one or more compatible food recipes may be identified and recommended by the following process, including but not limited to receiving one or more original food recipes from one or more data sources, generating one or more curated food recipes by modifying the one or more original food recipes, and recommending the one or more personalized compatible food recipes to the user.
[0154] In exemplary embodiments, compatible foods are defined as ingredients or food items that are well-tolerated by the digestive system and assist in reducing IBS symptoms. These foods are identified based on a user profile, which considers factors such as dietary preferences, allergies, medical history, current IBS symptom scores, and recognized food triggers. Less compatible foods, on the other hand, are those that worsen IBS symptoms, cause discomfort, or are deemed unsuitable based on user-specific data and standard dietary guidelines for IBS management. To initiate the gut cleansing phase, the gut cleanse module (214) may identify and eliminate less compatible foods from the user’s diet. Subsequently, the gut cleanse module (214) recommends compatible food replacements that align with the user’s dietary profile and health needs.
[0155] In an embodiment, less-compatible foods, such as onions, garlic, and beans, are identified as less compatible for a user with a lower IBS symptom score and sensitivity to fermentable carbohydrates. These foods are removed from recipes, and compatible food alternatives, such as garlic-infused oil and lentils, are recommended as substitutes. In another embodiment, for a user who is lactose intolerant or sensitive to dairy, foods like milk, cheese, and cream are eliminated. Suitable replacements include lactose-free milk, plant-based milk options such as almond or oat milk, and dairy-free cheese.
[0156] For users with gluten sensitivity or intolerance, gluten-containing ingredients such as wheat flour and pasta are identified as less compatible. These are replaced with gluten-free alternatives, including rice flour, quinoa-based pasta, or almond flour, ensuring that recipes remain functional and palatable. If a user’s profile indicates sensitivity to specific triggers such as spicy or acidic ingredients, adjustments are made by replacing such elements with milder or non-triggering substitutes. For instance, tomatoes can be replaced with roasted red peppers or pumpkin-based sauces.
[0157] In an example, wherein a user’s profile highlights a sensitivity to less compatible vegetables, ingredients like eggplants and peppers in a recipe are replaced with zucchini, carrots, or green beans. Such replacements are designed to maintain the nutritional balance and flavour profile of the dish. During the gut cleansing phase, the processor continuously analyses feedback from the user, tracks dietary adherence, emotional well-being and monitors symptom trends. Based on observed changes, such as the identification of new food triggers or improved tolerance to previously eliminated foods, the system dynamically updates dietary recommendations. This approach ensures that the dietary plan remains both personalized and adaptive, enhancing the effectiveness of gut cleansing and IBS symptom management.
[0158] In exemplary embodiments, the personalized plan may refer to a tailored program designed to address the unique needs, preferences, and health conditions of an individual. In the context of managing IBS symptoms, the personalized plan integrates compatible recipes, physical activities, and mental wellness strategies. The purpose of the personalized plan is to ensure that the interventions align with the user’s dietary preferences, medical history, and lifestyle factors, thereby improving adherence and maximizing the effectiveness of the intervention. In exemplary embodiments, the gut cleanse phase is the initial phase of the intervention plan aimed at detoxifying the digestive system and resetting gut health. During the gut cleanse phase, the user follows the personalized plan with compatible recipes and lifestyle recommendations. The phase emphasizes eliminating IBS triggers, incorporating gut-friendly foods, and establishing dietary patterns that promote gut flora balance. The primary goal of this phase is to alleviate acute IBS symptoms, reduce inflammation, and prepare the digestive system for the reintroduction phase. In exemplary embodiments, the first IBS symptom score represents a quantitative measure of the user’s IBS symptoms after completing the gut cleanse phase. The first IBS symptom score is derived from an analysis of symptom severity, frequency, and impact based on user feedback, questionnaire responses, and other collected data. The score serves as a benchmark for evaluating the effectiveness of the gut cleanse phase and provides a starting point for setting personalized goals in subsequent phases of the intervention plan.
[0159] In an embodiment, the gut cleansing phase optionally includes, one or more of, recommending personalized diet, physical and mental activities, compliance assessment, and collecting feedback, providing dynamic assessment of first IBS symptom score and providing revised recommendation. In exemplary embodiments, physical and mental activities include exercises, relaxation techniques, or therapeutic routines tailored to the user’s specific requirements. These activities are intended to improve gut health, reduce stress, and promote overall well-being, which are essential in managing IBS symptoms. Physical activities may consist of low-impact exercises, such as yoga, walking, or Pilates, that aid in improving digestion and reducing abdominal discomfort. Mental activities focus on stress and anxiety reduction and may include practices such as mindfulness meditation, deep-breathing exercises, or cognitive-behavioural therapy techniques. The customization of these activities is based on user profiles, considering factors such as age, fitness level, and the severity of IBS symptoms.
[0160] In exemplary embodiments, compliance assessment refers to monitoring the user’s adherence to the recommendations during the gut cleansing phase. This assessment evaluates dietary adherence, completion of physical and mental activities, and consistency in following other suggested lifestyle modifications. The system uses inputs such as user-reported data, wearable device metrics, or health app integrations to analyse compliance. Metrics such as meal adherence percentage, physical activity frequency, and meditation session duration are utilized to compute a compliance score. A moderate adherence score may prompt further analysis or suggestions to encourage better compliance.
[0161] In exemplary embodiments, collecting feedback involves obtaining user input about the effectiveness and practicality of the recommendations provided during the gut cleansing phase. Feedback may be collected through questionnaires, app-based surveys, or user-reported symptoms and overall well-being. The collected feedback focuses on symptom relief, the feasibility of implementing the recommendations, and any challenges or adverse effects experienced by the user. This input serves as a valuable source of information for dynamically adjusting the recommendations to enhance their effectiveness.
[0162] In exemplary embodiments, providing revised recommendations involves dynamically updating the care plan based on compliance data, user feedback, and the dynamic assessment of IBS symptom scores. Predictive algorithms and user-specific data are used to refine the care plan. Updates may include modifications to the recommended diet, changes in physical or mental activity routines, or alternate strategies to address identified challenges. For instance, alternative recipes may be suggested if dietary adherence is low due to limited meal options. Adjustments to mental activities may be recommended if the existing techniques do not significantly impact stress-induced IBS symptoms.
[0163] In exemplary embodiments, the integration of these elements ensures a personalized and adaptive approach to managing IBS symptoms. Physical and mental activities are designed to complement dietary changes. Compliance assessment ensures that user engagement is tracked effectively. Feedback provides qualitative insights into the user experience, and revised recommendations are introduced to enhance the efficacy of the overall care plan. These elements work in coordination to facilitate continuous improvement and achieve optimal outcomes for the user.
[0164] Further, the gut cleanse module (214) initiates the gut cleanse phase that includes steps of recommending a diet plan with compatible food recipes selected based on known triggers, allergies, co-morbidities and user preferences. Further, the step includes recommending physical and mental activities based on the symptoms diagnosed by the diagnosis module (212). Further, the step includes assessing compliance with the recommended personalized and compatible diet plan and personalized physical and mental activities by the user. Further, the step includes determining the improvement in the current IBS symptom score of the user based on the user input on the improvement in IBS symptoms/severity as assessed through personal triggers, one or more physical, biological, or mental health. Further, the step includes deriving and recommending changes in the personalized and compatible diet plan, physical and mental activities to the user over the remaining duration of the gut cleanse phase and determining whether a target IBS symptom score is reached by repeating the above-mentioned steps periodically.
[0165] In an embodiment, the reintroduction module (216) may be configured to enable to recommend reintroduction of a revised diet plan that includes less compatible food recipes to the user along with wellness plan, exercise, and habit changes. Further, the reintroduction module (216) may initiate the reintroduction phase, includes, steps of recommending the user to a revised dietary plan for a predetermined period, wherein the revised dietary plan includes less compatible food recipes that are eliminated at the gut cleanse phase. Further, the step includes receiving user input on one or more symptoms or triggers associated with the revised dietary plan. Further, the step includes determining changes in the IBS symptom score of the user and dynamically recommending changes in the physical/mental activities that are personalized to the user to experience improvement in symptoms or mental illness and reach the targeted IBS symptom score.
[0166] In an embodiment, to initiate the reintroduction phase, the reintroduction module (216) is configured to reintroduce, one or more of the less compatible foods, in predetermined and controlled manner to assess the user’s tolerance levels for the less compatible foods. In exemplary embodiments, the one or more of the less compatible foods refers to foods that may not align entirely with the user’s dietary requirements, preferences, or restrictions and could potentially trigger adverse symptoms. These foods are identified based on factors such as ingredient composition, user-reported intolerances, or previously observed reactions. For example, for a user with IBS, less compatible foods might include high-compatible foods such as onions, garlic, or certain dairy products.
[0167] In an embodiment, the less compatible food recipes are identified and recommended by the following process, including but not limited to receiving one or more food recipes modified at the gut cleanse phase and generating one or more curated food recipes by reintroducing the less compatible food recipes in the recommended diet plan. In exemplary embodiments, the reintroduction phase is initiated by reintroducing one or more of the less compatible foods in a predetermined and controlled manner to evaluate the user’s tolerance levels. The controlled process involves gradual incorporation of these foods while monitoring the user’s physical and symptomatic responses. For instance, small quantities of less compatible foods such as apples might be introduced incrementally to assess tolerance levels without causing significant discomfort.
[0168] In exemplary embodiments, the reintroduction phase optionally includes one or more processes such as real-time assessment of a second IBS symptom score to quantify the user’s symptom changes. It may also involve identifying specific symptom triggers by correlating food intake with observed reactions, assessing user compliance with the dietary plan, collecting feedback on the experience, and recommending a revised personalized diet, physical activities, and mental well-being practices. For example, feedback collected during reintroduction may highlight that apples trigger mild discomfort, leading to their continued exclusion or restricted use in the revised personalized diet plan.
[0169] In an embodiment, the reintroduction module (216) may assess the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute the reintroduction phase to arrive second IBS symptom score at the end of the reintroduction phase. In exemplary embodiments, the revised personalized plan refers to an updated version of the user’s intervention program, tailored based on the outcomes and insights gathered from the gut cleanse phase. The plan incorporates adjustments to dietary recommendations, lifestyle practices, and mental wellness activities to align with the user’s current condition and progress. The revised plan considers the first IBS symptom score to address any remaining symptoms, refine the approach, and prepare the user for the subsequent phases. In exemplary embodiments, the reintroduction phase is the second phase of the intervention program, focusing on gradually reintroducing foods or lifestyle elements that were restricted during the gut cleanse phase. The goal of the reintroduction phase is to identify specific IBS triggers and assess the body’s tolerance to various foods or activities. The user follows a systematic process of adding one element at a time while monitoring any changes in symptoms. The reintroduction phase enables personalized identification of compatible and non-compatible foods, habits, or triggers, ensuring sustainable symptom management. In exemplary embodiments, the second IBS symptom score is a quantitative representation of the user’s IBS symptoms at the end of the reintroduction phase. The second IBS symptom score is calculated based on the user’s symptom severity, frequency, and overall improvement, as assessed through data collected during the phase and provides an evaluation of the impact of the reintroduction phase, indicating the user’s progress and helping to refine the intervention plan further for the sustenance phase.
[0170] In an embodiment, the reintroduction module (216) may assess the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score. In exemplary embodiments, the IBS may be characterized by a variety of symptoms that differ in severity and frequency among individuals. Common symptoms include abdominal pain or cramping, often relieved after a bowel movement, bloating, changes in bowel habits such as diarrhea, constipation, or alternating between the two, excessive gas, mucus in the stool, and a sense of urgency or incomplete evacuation. The triggers associated with IBS also vary and typically involve dietary factors such as high-fat meals, dairy, gluten, spicy foods, or artificial sweeteners. Stress and mental health factors, including anxiety and depression, can contribute to symptom flare-ups, while lifestyle aspects like irregular eating patterns, lack of sleep, and insufficient physical activity may also play a role. Additionally, certain medications, such as antibiotics or laxatives, can aggravate symptoms, and hormonal changes, particularly in women during menstruation, may further influence the condition.
[0171] In exemplary embodiments, the third IBS symptom score is a quantitative measure of IBS symptoms evaluated after the refined personalized plan has been implemented. The third IBS symptom score may be derived following the second IBS symptom score assessment and any necessary adjustments to the revised personalized plan. It reflects the symptom severity of the user, frequency, and overall health status after addressing identified triggers or persistent symptoms. The third IBS symptom score provides a final benchmark for determining the effectiveness of the tailored interventions and the user’s readiness for long-term symptom management.
[0172] In an embodiment, the reintroduction phase optionally includes, one or more of, real-time assessment of second IBS symptom score, identifying the symptom triggers, compliance assessment, collecting feedback, and recommending revised personalized diet, physical and mental activities. In exemplary embodiments, the real-time assessment refers to the process of monitoring and analysing data as events occur to provide immediate insights. In the context of reintroducing less compatible foods, real-time assessment involves continuously evaluating the user’s symptom response, dietary compliance, and other related metrics during the reintroduction phase. This assessment enables timely adjustments to the user’s personalized plan based on observed reactions.
[0173] In an embodiment, the sustenance module (218) may generate a final personalized diet plan and curated routine for maintaining/improving physical and mental activities for the user to maintain the desired IBS symptom score of the user. In an embodiment, the sustenance phase is the final stage of the IBS management care plan, wherein the primary focus is on maintaining long-term symptom relief and preventing flare-ups. During this phase, the personalized plan is refined based on the assessed third IBS symptom score, ensuring that dietary, physical, and mental wellness strategies are sustainable. The user continues to follow a structured regimen, incorporating previously identified compatible and less-compatible foods and lifestyle modifications while avoiding known triggers. Regular monitoring and adjustments are made as needed to maintain stability in symptom management.
[0174] The long-term impacts of the personalized plan refer to the enduring effects on IBS symptoms and overall gut health. These impacts include improved digestive function, reduced symptom severity, enhanced quality of life, and better tolerance to a wider range of foods. The assessment of long-term outcomes helps determine whether the implemented dietary and lifestyle modifications are effective in providing lasting relief, thereby encompassing measurable enhancements in the user’s condition, such as reduced frequency and intensity of abdominal pain, improved bowel regularity, decreased bloating and gas, and enhanced overall well-being. These improvements are evaluated based on periodic symptom tracking, user feedback, and health assessments, ensuring that the personalized plan continues to be optimized for sustained symptom control.
[0175] In exemplary embodiments, the one or more compatible food recipes may refer to recipes that align with the user’s dietary requirements, preferences, and restrictions. Recipes of this type are generated by evaluating the compatibility of ingredients, nutritional content, and preparation methods to ensure they meet specific user needs. For example, a pasta recipe that originally includes gluten-based ingredients may be replaced with gluten-free alternatives for users with gluten intolerance. Compatibility also accounts for taste preferences, cultural factors, and food allergies.
[0176] In exemplary embodiments, the one or more original food recipes may refer to recipes obtained from various data sources, such as public recipe databases, food blogs, cookbooks, or other repositories. These recipes represent unaltered, standard culinary instructions, including a list of ingredients, preparation steps, and serving suggestions. For instance, an original recipe for a traditional Lasagna may include wheat-based pasta, cheese, and a tomato-based sauce.
[0177] In exemplary embodiments, the one or more data sources may refer to the origin or repository of the original recipes or other food-related data utilized in the process. Data sources may include publicly available recipe websites, curated culinary platforms, user-uploaded recipes, or proprietary databases containing nutritional and ingredient information. For instance, a food application may retrieve original recipes from a combination of external sources, such as cooking websites and internally maintained recipe collections.
[0178] In exemplary embodiments, the one or more curated food recipes may refer to recipes that have been modified from their original versions to align with dietary restrictions, nutritional goals, or ingredient preferences. Curation involves processes such as substituting incompatible ingredients, altering preparation methods, or adjusting portion sizes. For example, a traditional brownie recipe with high sugar content may be curated to include natural sweeteners like stevia or honey, thereby reducing sugar intake while maintaining flavour.
[0179] In exemplary embodiments, the one or more personalized compatible food recipes may refer to recipes tailored specifically to an individual user’s dietary requirements, preferences, and health conditions. Personalization involves further refining curated recipes based on user feedback, ingredient availability, and dynamic assessments of dietary needs. For instance, if a user prefers plant-based diets, a curated Lasagna recipe may be personalized to replace meat with plant-based protein options, such as lentils or tofu.
[0180] For example, ingredient replacement in recipes may be applied to ensure compatibility and personalization. A recipe for traditional pizza may originally include regular cheese and wheat-based crust. For a lactose-intolerant user, the cheese could be replaced with lactose-free or plant-based alternatives. For users with gluten intolerance, the crust could be substituted with a gluten-free base. A standard chicken curry recipe may include cream as a primary ingredient. For a user following a low-fat diet, the cream may be replaced with coconut milk or a yogurt-based alternative to reduce fat content while maintaining flavour. A salad recipe that originally uses walnuts may be modified for a user with nut allergies by replacing walnuts with sunflower seeds or pumpkin seeds. A high-calorie pasta recipe with heavy cream and cheese may be curated for weight-loss goals by substituting the cream with cashew cream and the cheese with nutritional yeast.
[0181] In an embodiment, at the end of sustenance phase, the processor (202) is configured to generate and display a comprehensive analysis report comprising, compatible food items, less compatible food items, reported symptoms, flare up reports, adherence, revised personalized plan, achieved IBS symptom score, and the like.
[0182] In exemplary embodiments, the comprehensive analysis report refers to a detailed summary generated at the end of the sustenance phase, providing insights into the user’s dietary progress, symptom trends, adherence levels, and personalized recommendations. The report includes a categorized list of compatible food items, which have been well-tolerated by the user, and less compatible food items, which have triggered symptoms or required modifications. The report further documents reported symptoms, detailing their frequency, severity, and correlation with specific dietary or lifestyle factors. Additionally, the report contains flare-up reports, highlighting episodes of heightened symptoms, potential triggers, and the circumstances under which they occurred. Adherence metrics assess the extent to which the user has followed the recommended dietary and wellness guidelines. Based on these insights, the system provides a revised personalized plan that adjusts meal recommendations, physical activities, and mental wellness strategies to support long-term IBS condition management.
[0183] In exemplary embodiments, the achieved IBS symptom score refers to the final calculated score that quantifies the user’s symptom severity and improvement at the end of the sustenance phase. The score is derived by analysing symptom trends, dietary adherence, and response to reintroduced foods. The achieved IBS symptom score is compared to the target IBS symptom score set to the user at the beginning of the program to evaluate progress. For example, if the initial score was 40, and the achieved score is 80, a 50% improvement is indicated. The score is generated based on factors such as frequency and intensity of symptoms, number of flare-ups, and tolerance to previously eliminated foods.
[0184] In an embodiment, the system (102) may generate the one or more curated food recipes for a user diagnosed with IBS and related symptoms. The system (102) may be configured to receive one or more original food recipes from one or more data sources and identify one or more food ingredients in said food recipe. In exemplary embodiments, the one or more food ingredients refers to individual components used in a recipe that contribute to the overall nutritional value, taste, and composition of a meal. These ingredients may include raw materials such as vegetables, fruits, grains, proteins, dairy, spices, and other edible substances that form part of a food preparation.
[0185] Further, the classification module (222) may determine the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutrition requirements and classify the identified one or more ingredients based on one or more of the category, class, variety, nutritional content, compatibility with user’s condition and symptoms associated with the one or more ingredients. In exemplary embodiments, the daily nutrition requirements refer to the specific dietary intake necessary to meet an individual’s nutritional needs based on factors such as age, gender, activity level, medical conditions, and dietary restrictions. These requirements include macronutrients such as carbohydrates, proteins, and fats, as well as micronutrients such as vitamins, minerals, and fiber, which are essential for maintaining overall health and digestive function. In exemplary embodiments, the category, class, variety, nutritional content, compatibility refers to the classification parameters used to assess food ingredients. Category represents the broader food group, such as vegetables, dairy, or proteins. Class further refines classification, such as leafy greens or root vegetables. Variety distinguishes between different types of the same food, such as brown rice versus white rice. Nutritional content evaluates macronutrient and micronutrient composition, while compatibility assesses how well an ingredient aligns with the user's dietary restrictions, digestive tolerance, and specific health conditions.
[0186] Further, the classification module (222) may optionally compare the classified one or more ingredients with one or more co-morbid conditions of the user and determine and assign a Gut Index (GI) score to the classified one or more ingredients. In exemplary embodiments, the one or more co-morbid conditions refers to additional medical conditions or health disorders that coexist alongside IBS and may influence dietary recommendations. These conditions may include lactose intolerance, celiac disease, diabetes, inflammatory bowel disease (IBD), or acid reflux, which can impact ingredient selection, portion sizes, and overall meal composition. Further, the system (102) may modify or alter one or more food ingredients, when Gut Index (GI) score exceeds a threshold level based on one or more of the user’s profile, preferences, co-morbid conditions, and the like, wherein the modification includes, one or more steps, including, but are not limited to, eliminating, adding, replacing and quantifying the ingredients to generate and recommend the one or more personalised food recipes to the user. In exemplary embodiments, the GI score refers to a calculated value assigned to food ingredients based on their impact on gut health, digestion, IBS symptoms and severity etc. The score is determined by evaluating one or more factors such as fiber content, fermentation potential, inflammation triggers, and known symptom responses and the like. A high GI score may indicate a greater likelihood of causing digestive discomfort, whereas a low GI score suggests better compatibility and IBS-friendly dietary recommendations.
[0187] In an embodiment, the generation of one or more curated food recipe optionally includes, receiving inputs from a food expert for one or more curated food recipes to ensure balance of nutrition, taste, texture and essence of the original food recipe. In exemplary embodiments, the food experts refer to professionals with specialized knowledge in nutrition, culinary science, and dietetics who provide guidance on modifying and optimizing food recipes. These experts may include dietitians, nutritionists, chefs, or food scientists who ensure that curated recipes maintain a balance of nutrition, taste, texture, and the essence of the original food recipe while aligning with dietary needs and restrictions.
[0188] In an embodiment, the generation of one or more curated food recipe optionally includes, dynamic recommendation of detailed ingredients, preparation steps, cooking instructions, caloric information and micro and macro nutrients for the generated one or more curated food recipes. In exemplary embodiments, the detailed ingredients specify the precise quantities and types of ingredients required for the recipe. In exemplary embodiments, the preparation steps outline the sequential process of assembling and preparing the dish. In exemplary embodiments, the cooking instructions provide guidance on temperature settings, cooking methods, and timing to achieve the desired consistency and flavour. In exemplary embodiments, the caloric information presents the total energy content per serving, while micro and macro nutrients detail the essential nutrients, including proteins, carbohydrates, fats, vitamins, and minerals, necessary for maintaining a balanced diet.
[0189] In exemplary embodiments, a 14-week evidence-based care program for managing Irritable Bowel Syndrome (IBS) is structured into distinct phases: Discover phase includes on-boarding and assessment, gut cleanse phase, reintroduction phase, and sustenance phase, followed by ongoing post-care. The program incorporates a doctor’s recommendation for credibility and integrates dietary adjustments, wellness strategies, exercise, and habit formation for holistic IBS management.
[0190] The Discovery phase emphasizes the medical foundation and integrated care. During on-boarding (week 0-2), IBS symptoms are assessed to understand the patient goals, user preferences, medical condition, co-morbidities, likes and dislikes and generate a current IBS symptom score (baseline score), and a personalized expert support is initiated. The Gut Cleanse phase (Weeks 3-6) focuses on eliminating trigger foods such as less compatible foods, identifying triggers, and promoting gut health by recommending compatible diets and relaxation techniques.
[0191] The reintroduction phase (weeks 7-10) systematically reintroduces the less compatible foods that are eliminated during the gut cleanse phase to identify sensitivities, supported by mindful eating and stress management practices. Sustenance (week 11-13) focuses on establishing long-term strategies for symptom management, while post-care provides ongoing support to prevent flare-ups. The program offers a structured, personalized, and long-term approach, supported by wellness coaches and nutritionists, to empower individuals in managing IBS effectively and improving quality of life.
[0192] In an exemplary embodiment, the system (102) for converting original recipes into IBS-friendly versions is disclosed. The process involves systematic steps to ensure recipes are suitable for individuals with Irritable Bowel Syndrome (IBS) and other co-morbidities such as diabetes, hypertension, thyroid disorders, and the like. The system (102) begins with ingredient identification, cleansing, and standardization to unify naming conventions and measurement units. Nutritional information, including vitamin and micronutrient data, is extracted and standardized. Identified ingredients are classified based on their impact on IBS and co-morbidities, such as identifying high-compatible or gluten-containing items. Ingredients are similarly categorized to assess their initial suitability, followed by identifying replacements for problematic ingredients. Further, replacements are validated manually to maintain culinary integrity and safety. Further, a generative AI-based system adjusts recipe instructions to accommodate ingredient replacements, ensuring clarity and consistency in preparation. This method provides a structured, technology-driven approach in curating IBS-friendly recipes while maintaining nutritional adequacy and taste.
[0193] In exemplary embodiments, for a recipe curation, the starting point involves obtaining an original Pavbhaji recipe from a third-party source. The recipe serves as the initial input before being processed to make it suitable for individuals with IBS. In exemplary embodiments, the recipe includes key details such as cuisine type (Indian), course (vegetarian/snacks), preparation time (15 minutes), cooking time (25 minutes), and serving size (3 servings). An ingredient list outlines components such as potatoes, green peas, cauliflower, carrot, onion, ginger garlic paste, tomatoes, and spices. Preparation instructions detail steps like chopping, pressure cooking, mashing vegetables, and sautéing. In exemplary embodiments, the traditional recipe contains potential IBS triggers, including onions, garlic, and specific spices. This recipe acts as raw material for analysis, wherein said ingredients and instructions are analysed for IBS compatibility, suitable replacements are identified, and a modified recipe is generated for IBS-friendly consumption.
[0194] In exemplary embodiment, the recipe curation process begins with data cleaning and standardization, focusing on weight standardization of ingredients. This step ensures all ingredient quantities are converted into a consistent unit (grams) for accurate nutritional analysis and recipe scaling. For example, “2 (medium) chopped potatoes” is standardized to “100 gm”, while “1/2 cup of green peas” is converted to “30 gm”. In exemplary embodiments, the process involves creating a standardized ingredient table, including columns for ingredient names, quantities, original measurement units, and equivalent weights in grams. Automation of this standardization is achieved through a recipe engine utilizing ingredient weight databases and measurement conversions. In exemplary embodiments, this standardization serves as a foundation for subsequent steps in the recipe conversion process, such as ingredient identification, replacements, and instruction generation. Standardized data ensures consistency, supports automation, and enables accurate transformation of recipes into IBS-friendly versions.
[0195] In exemplary embodiments, the recipe curation process involves breaking down standardized ingredients into their macronutrient and micronutrient components. This step ensures nutritional balance in the modified recipes. In exemplary embodiments, following data cleaning and standardization, ingredient quantities are converted into standard units, and a table is generated with additional columns for nutritional values. These include macronutrients such as carbohydrates, proteins, fats, and fiber, as well as micronutrients like vitamins (A, B1, B12, niacin), and minerals (iron, magnesium, sodium, and phosphorus). The table may also include a row that calculates the total nutritional content of the entire recipe. In exemplary embodiments, the process uses a nutritional database to automatically populate values for each ingredient. For example, potatoes may contribute 125 calories and 28 grams of carbohydrates, while green peas add 95 calories and 6 grams of protein. Such data supports a detailed nutritional analysis of the recipe. In exemplary embodiments, this information is crucial for guiding ingredient replacements and ensuring that the final recipes remain balanced and healthy. The system can suggest alternatives for high-fat or high-calorie ingredients, enabling the creation of recipes tailored for specific dietary needs, such as IBS-friendly options.
[0196] In exemplary embodiments, the recipe curation process includes a classifying phase wherein one or more identified ingredients are categorized based on ingredient class, variety, nutritional content and compatible classification. The identified ingredients are classified into categories such as main, side, and base components, each reflecting their role in the recipe. In exemplary embodiments, ingredients are further classified based on compatible content into low, moderate, and high categories. For instance, potatoes may be classified as a main ingredient and low-compatible, while onions may be classified as a side ingredient and high-compatible. In exemplary embodiments, the process includes a logic-based compatible evaluation for the overall recipe. If more than 20% of base ingredients are classified as high-compatible, the recipe is classified as a high-compatible recipe, indicating its suitability for individuals managing IBS. In exemplary embodiments, the classification phase serves as the foundation for identifying problematic ingredients, enabling targeted modifications in subsequent steps to create IBS-friendly recipes. This ensures a structured approach to ingredient evaluation and dietary adjustments.
[0197] In exemplary embodiment, the recipe curation process involves comparing the identified one or more ingredients with co-morbidities such as diabetes-friendliness, gut-friendliness, and the like. After categorizing ingredients by class, variety, nutritional content and compatible classification, the system further analyses their suitability for individuals with comorbid condition of the user, user preferences, user profile, and the like. In exemplary embodiment, a gut index (GI) scoring and “Gut-friendly classification” is assigned to each ingredient, categorizing it as “Gut-friendly” or “moderate” or “compatible” or “low-compatible” based on its impact on the users medical condition. In exemplary embodiments, potatoes are tagged as “High GI” with high carbohydrate content and low compatible. Ingredients like green peas, cauliflower, and carrots are tagged as “Low GI” and classified as gut-friendly or compatible due to moderate or low carbohydrate and sugar content. Other ingredients such as onions, ginger garlic paste, and spices like turmeric powder and cumin-coriander powder are similarly analysed for GI scoring and classification and nutritional properties, aiding in nuanced classification. In exemplary embodiments, the system uses this scoring and classification to accommodate co-morbidities, ensuring recipes are safe for individuals managing both IBS and other medical conditions. By incorporating GI scoring and nutritional data, the system facilitates informed decisions for ingredient replacement or modification. This approach enhances the recipes curation tailored for specific dietary requirements.
[0198] In exemplary embodiment, the recipe curation process involves identifying and suggesting replacements or eliminating ingredients that are not compatible for individuals with IBS condition. Based on initial identification and classification, ingredients which are categorized under high or moderate compatible are either replaced, eliminated, or limited in quantity. In exemplary embodiments, replacements are determined using compatible classifications. For example, onion and cauliflower are eliminated, while ginger garlic paste is replaced with ginger paste. Moderate-compatible ingredients like green peas, tomatoes, and red chili powder are adjusted for limited quantities. Garlic-infused oil is introduced as a flavour-preserving alternative. In exemplary embodiments, the replacement identification process ensures recipes are modified to be IBS-friendly by targeting compatible levels while maintaining flavour and nutritional value.
[0199] In exemplary embodiment, the recipe curation process generates an IBS-friendly version of Pavbhaji recipe through automated modifications. The process involves data cleaning, standardization, identification of ingredients based on compatible levels and co-morbidities, replacement identification, and instruction adjustments. For example, the modified recipe eliminates less compatible ingredients such as onion and capsicum, replaces ginger garlic paste with ginger paste, and incorporates garlic-infused oil and spring onions to retain flavour. Preparation instructions are adjusted to align with the ingredient changes. The generated recipe demonstrates the capability to transform original recipes into IBS-friendly versions, ensuring accessibility and suitability for individuals managing IBS.
[0200] In exemplary embodiments, the recipe curation process for generating recipes by the recipe engine is detailed using the example of “Pineapple sheera”, an Indian dessert. The process ensures the converted recipes are accurate, palatable, and align with dietary guidelines. In exemplary embodiments, ingredient adjustments include replacing semolina with little millet, regular milk with oat milk, reducing sugar to brown sugar, modifying nut quantities, changing pistachios to almonds, and adding water and raisins. Cooking instructions are altered from roasting to soaking and boiling, with prep and cooking time extended from 25 to 35 minutes. In exemplary embodiments, the validation emphasizes human review to ensure recipes meet taste, consistency, and compatible dietary recommendations. The process highlights specific adjustments to ingredients and instructions, demonstrating the importance of manual intervention for culinary accuracy and appeal.
[0201] In exemplary embodiments, a process for personalizing IBS-friendly recipes is described. The process begins with validating recipes that have been assessed for suitability. Certain recipes are filtered out based on user-specific variables, including co-morbidities, intolerances, dietary preferences, and known triggers for IBS symptoms. In exemplary embodiments, the personalization process maximizes patient preferences, incorporating essential criteria such as diet type, calorie constraints, macronutrient and micronutrient requirements, and freshness. Preferences are ranked to prioritize cuisine types and eliminate recipes containing strongly disliked ingredients. In exemplary embodiments, additional adjustments are performed manually by a nutritionist based on specific needs, including special occasions, budget constraints, or medication interactions. The system also aligns recipes with individual health and dietary goals, such as weight management or improved gut health. In exemplary embodiments, the output is a set of tailored recipes generated by the recipe engine. This system filters, ranks, and adjusts recipes using a range of variables to deliver personalized dietary solutions that align with user preferences and health objectives.
[0202] In exemplary embodiments, upon achieving the target IBS symptom score after the gut cleansing phase, the system (102) continues executing the reintroduction and sustenance phases to ensure long-term symptom management. For instance, if a user eliminates less-compatible foods during the gut cleansing phase and achieves significant symptom relief earlier than expected, the system does not conclude the process. Instead, the system (102) proceeds to the reintroduction phase, wherein said foods are systematically reintroduced to assess tolerance. If the user, after reintroducing the less-compatible foods, the system (102) detects these symptoms and adjusts the dietary recommendations accordingly. Even if the user maintains stable symptoms at the end of the reintroduction phase, the sustenance phase ensures continuous monitoring, preventing potential symptom flare-ups due to lifestyle changes or stress. This adaptive process guarantees that the user receives comprehensive support, even if the target IBS symptom score is achieved at the early phases.
[0203] FIG. 3 illustrates a flow diagram for implementing a method (300) for providing recommendations for a user diagnosed with IBS and related symptoms, in accordance with an embodiment of the present disclosure.
[0204] Referring to FIG. 3, at (302), the method (300) may include receiving one or more datasets associated with a user, wherein the one or more datasets comprise information associated with the user. At (304), the method (300) may include determining a current IBS symptom score associated with the user based on the received datasets. At (306), the method (300) may include computing a target IBS symptom score based on the current IBS symptom score of the user. Further, the method (300) may include recommend a personalized plan, through one or more of the following steps. At (308), the method (300) may include initiating and executing a gut cleansing phase to arrive first IBS symptom score at the end of the gut cleanse phase. At (310), the method (300) may include assessing the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute a reintroduction phase to arrive second IBS symptom score at the end of the reintroduction phase. At (312), the method (300) may include assessing the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score. At (314), the method (300) may include assessing the third IBS symptom score at a sustenance phase to determine the long term impacts, of the said personalized plan on IBS symptoms, and associated improvements, and optionally further revise the personalized plan to arrive at and maintain the target IBS symptom score
[0205] FIG. 4 illustrates a flow diagram for implementing a method (400) for generating the curated food recipes for the user diagnosed with the IBS and related symptoms, in accordance with an embodiment of the present disclosure.
[0206] Referring to FIG. 4, at (402), the method (400) may include receiving one or more original food recipes from one or more data sources. At (404), the method (400) may include identifying one or more food ingredients in said food recipe. At (406), the method (400) may include determining the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutrition requirements. At (408), the method (400) may include classifying the identified one or more ingredients based on one or more of the category, class, variety, nutritional content, compatibility with user’s condition and symptoms associated with the one or more ingredients. At (410), the method (400) may include optionally comparing the classified one or more ingredients with one or more co-morbid conditions of the user. At (412), the method (400) may include determining and assigning a Gut Index (GI) score to the classified one or more ingredients. At (414), the method (400) may include modifying or altering one or more food ingredients, when GI score exceeds a threshold level based on one or more of the user’s profile, preferences, co-morbid conditions, and the like, wherein said modification includes one or more of eliminating, adding, replacing and quantifying the ingredients. At (416), the method (400) may include generating and recommending the one or more personalised food recipes to the user.
Input provided by the user through an application:
[0207] In an exemplary embodiment, during each phase of the program, the user can provide an input via an application in a computing device associated with the user. The input provided can be a feedback, the feedback is being recorded by the system to understand the flare-up’s experienced by the user with respect to the personalized plan recommended to the user. To record the flare up, the questions and the related response are promoted to the user for quick feedback. The input provided by the user is by answering a questionnaire that includes, but is not limited to, symptom related questions, symptom frequency related questions, medical related questions, and quality of life related questions. The user can be presented with questions and the user can provide a response in a continuous manner or can select a choice from the provided options or can rate on a scale. The data set received from the user can also be gathered from various medical devices, such as wearable devices, portable monitoring devices, and the like. Further, the data set received from the user can also be inputted by the user.
Questionnaire presented to the user:
[0208] In an exemplary embodiment, the method may include determining a current score associated with the user based on the received inputs. The data received from the user may be by answering a questionnaire presented to the user, collected from the wearable devices, and the like. The questions and related response options are presented to the user on the user interface.
[0209] For example,
• Do you have any existing medical conditions? (example: Diabetes, High cholesterol, PCOS, Hypertension, Thyroid, Physical injury, Depression, others). If the user medical condition is not covered in the provided options. The user can input the medical condition.
• What’s your height?
• What’s your weight?
• How often do you smoke? (example: occasionally in a month, 2-3 cigarettes in a day, 7-8 cigarettes in a day, 10+in a day, etc.)
• How often do you consume alcohol? (example: less than 1 drink in a week, 1-3 drinks in a week, 3-7 drinks in a week, more than 7 drinks in a week, etc.)
• What are your preferred activities to stay fit? (example: walking, jogging, running, Aerobics, Dancing, or any fun cardio, Yoga, Pilates, Stretches, Play a sport (Tennis, Badminton, Swim, etc.), Strength training and weights, etc.)
• How much time do you dedicate to physical activity? (choices are, 6-7 hours a week, 4-5 hours a week, 1-3 hours a week, never)
• Who cooks your meals? (choices are Cook almost all meals at home, Domestic help, Other family members, Home cooked tiffin delivery, Order in)
• How many time do you eat out/order in? (choices are, Never or almost never,1-2 meals a week, 3-5 meals a week, Almost all my meals)
• How much time does it take for you to fall asleep once you lie down? (choices include, Immediately (5 min), Under 30 mins, 1-2 hours, More than 2 hours)
• How often do you practice breathing exercises & meditation? (choices are Never or almost never, Few times a month, About once a week, Few times a week)
• Register a family member (data to be shared are family members name, mobile number, etc.). Sharing this information can involve your family in to the IBS program or journey for sharing the updates on new recipes to health achievements.
Reporting the flare-up’s:
[0210] In exemplary embodiment, the method may include sending notification to record the flare-up or any experiences with respect to the IBS symptoms experienced over a period of time. This flare-up details are recorded by presenting questions and the related response are promoted to the user and by rating the symptoms over the scale.
[0211] For example, questions, include:
• Are you experiencing any symptoms right now? (choices are, Yes, I am and Report past symptoms).
• Can you provide some additional details about your current situation? (choices are, yes, I can, and No, I will discuss it with the coach).
• What symptom were you experiencing? (choices are, Abdominal pain, Diarrhoea, Constipation, Bloating, and the like).
• When did you first notice these symptoms? (choices are, Today, Few days ago).
• Can you remember anything unusual you ate on the day of your symptom started?
[0212] In another exemplary embodiment, further, the system collects the user current mental health along with the symptom and food item consumed along with the quantity, to identify the primary concern. Wherein said questions and the related response promoted to the user may be, for example:
• What is the most pressing issue right now? (choices are, Work related stress, Health issues, Physical appearance issues, Relationship issues, Academic pressure, Legal or property issues, Sexual health issues, Family member health issues, etc.)
[0213] In other exemplary embodiment, further, the system collects the user emotional wellbeing along with the IBS symptom and food item consumed and the quantity, to track the emotional well-being. The emotional well-being that is impacting the quality of life of the user can be recorded by asking the user to tell about his/her mood, by sharing questionnaire and the related response are promoted to the user. Wherein, the questions presented to the user may be, for example:
• Which statements do you most relate with? (choices are, I tend to dwell on thoughts excessively analysing every detail for simple situations, I tend to read between the lines, I spend lot of time fixing things because I need them to be perfect, and so on).
[0214] FIG. 5 illustrates an exemplary computer system (500) in which or with which embodiments of the present invention can be utilized in accordance with embodiments of the present disclosure.
[0215] As shown in FIG. 5, the computer system (500) may include an external storage device (510), a bus (520), a main memory (530), a read-only memory (540), a mass storage device (550), a communication port (560), and a processor (570). A person skilled in the art will appreciate that the computer system (500) may include more than one processor and communication ports. Examples of processor (570) include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSoC™ system on chip processors or other future processors. The processor (570) may include various modules associated with embodiments of the present invention. The communication port (560) may be any of an RS-232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fibre, a serial port, a parallel port, or other existing or future ports. The communication port (560) may be chosen depending on a network, such as a Local Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system connects. The memory (530) may be a Random Access Memory (RAM) or any other dynamic storage device commonly known in the art. The read-only memory (540) may be any static storage device(s), e.g., but not limited to, a Programmable Read Only Memory (PROM) chip for storing static information, e.g., start-up or BIOS instructions for the processor (570). The mass storage (550) may be any current or future mass storage solution, which may be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-phase drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Fire wire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 782 family) or Hitachi (e.g., the Hitachi Desk star 13K800), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays).
[0216] The bus (520) may communicatively couple the processor(s) (570) with the other memory, storage and communication blocks. The bus (520) may be, e.g., a Peripheral Component Interconnect (PCI)/PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects processor (570) to a software system.
[0217] Optionally, operator and administrative interfaces, e.g., a display, keyboard, and a cursor control device, may also be coupled to the bus (520) to support direct operator interaction with the computer system (500). Other operator and administrative interfaces may be provided through network connections connected through the communication port (560). The external storage device (510) may be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc-Re-Writable (CD-RW), Digital Video Disk-Read Only Memory (DVD-ROM). The components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system limit the scope of the present disclosure.
Exemplary results:
[0218] Pilot Interventions in subjects with IBS symptoms:
[0219] Executing the heath management system to provide personalized recommendations for a user diagnosed with IBS and related symptoms, wherein executing the personalized recommendations can involve recommendations at multiple phases of the program through interfaces described above. As such, execution can involve mobile device application interfaces, web application interfaces, and/or other suitable interfaces.
[0220] Execution of the personalized recommendation of diet, physical and mental activities at multiple phases (Discovery phase, Gut cleanse phase, Reintroduction phase and Sustenance phase) of the program produced improved outcomes for patients. The aim of the study was to determine whether the personalized recommendations and revised recommendations of diet, physical and mental activities suggested through the mobile application can help in achieving the target IBS symptom score set to the user at the enrolment of the program, improve IBS symptom severity, and improve quality of life outcomes in adults over a 14-week program.
[0221] This Example shows pooled results from a 14-week pilot interventions conducted with an exemplary system of the invention, wherein the participants underwent systematic progression from gut cleanse, to re-introduction to sustenance phase of the program. Various parameters in the study reported here include a mental trigger, food trigger, frequency and intensity of one or more of IB symptoms, include, but is not limited to, bloating, constipation, diarrhea, pain etc. and several other factors related to IBS symptoms.
[0222] Study Participants: Thirty/Ten subjects with one or more IBS related symptom across a wide range of ages (19 to 81 year) and body mass indices participated in a series of fourteen week trials of the IBS program. The characteristics of the study participants are shown in the below tables. Subjects were provided with a questionnaire through an online interface, wherein said questionnaire includes, but is not limited to, mental health condition, medical health, daily routines, dietary habits, medications, social interaction details, and the like. Additionally, subjects were provided with the questions to share the information on the presence or absence of symptoms associated with IBS, prescribed and over-the-counter medications or supplements, alcohol intake, recreational drug usage, and demographic information, including age, gender, and height. Subjects who indicated a positive answer on the IBS symptoms were asked to rate the frequency of the symptom over the scale (e.g., from 0 (minimum) to 10 (maximum)).
[0223] In an exemplary embodiment, the system receives the dataset and ratings on the frequency and severity of the symptoms experienced by the user over a scale. Further, the system assesses an impact of IBS on the user based on the rating, wherein the levels of impact are categorized into very high, high, moderate, low and very low. Further, the system determines a baseline score (current IBS score) based on the characteristics as shown in Table 1.

Table 1
Baseline Abdominal Pain Baseline Bloating Baseline Diarrhoea Baseline Constipation Baseline Impact Baseline score
7 5 - - Moderate 32
7 7 - - Very high 32
- - 6 - Very high 32
- 3 7 - High 32
2 7 7 - High 32
3 4 0 4 Moderate 57
7 - - - High 32
6 - 0 2 High 54
5 7 - - Very high 35
4 4 - 3 Moderate 40

[0224] After determining the baseline score, the study participants are transitioned to a Gut cleanse phase, wherein a personalized recommendation is generated by implementing the steps of methods 300, and 400 described above. Based on the data set derived from these inputs, the system generates the personalized recommendations for the subjects, wherein the subjects make incremental lifestyle changes focusing on diet adjustments and behavioural changes through the suggested physical, mental activities that are verified by the psychiatrist. Further, the subjects are notified to report the flare-up’s during or after the gut cleanse phase of the program.
[0225] Further, the system receives the reported flare-ups for the IBS symptoms experienced by the user during a certain period of time and based on the reported flare-up, the system assesses an impact of IBS symptoms on the user, wherein the levels of impact are categorized into very low, low, moderate, high and very high. Further, the system determines a Gut cleanse score based on the characteristics as shown in Table 2.
Table 2
Gut Cleanse
Bloating Gut Cleanse Diarrhoea Gut Cleanse Constipation Gut Cleanse Abdominal Pain Gut Cleanse Impact Gut Cleanse Score
1 - - - Very low 96
- 0 2 4 Very low 89
0 1 3 0 Very low 89
2 2 0 1 Moderate 64
1 1 1 4 Moderately 61
1 0 3 0 Low 68
2 0 1 0 Low 82
0 0 0 2 Very low 96
- - 4 - Low 70
2 1 0 0 Low 75

[0226] Table 2 shows the study data of 10 participants recorded at week 7 of the 14-week pilot interventions, the average Gut cleanse score recorded was 79.0 (e.g., from 0 (minimum) to 100 (maximum)). Further, the subjects were grouped based on the responses received on the core symptoms, frequency of IBS symptoms (like abdominal pain, bloating, constipation, diarrhoea, and the like) and impacts of IBS on the quality of life. Further, the grouped subjects were categorized and displayed based on the no. of patients experiencing the specific IBS symptom over a period of time, wherein said colour coded categories include, red colour indicating high, orange colour indicating moderate and green colour indicating low impact of the IBS symptoms.
[0227] After determining the Gut cleanse score, the study participants are transitioned to a reintroduction phase, wherein the revised personalized recommendation is generated by implementing the steps of methods 300, and 400 described above. Based on the determined Gut cleanse score, the system generates the revised personalized recommendations for the subjects individually, wherein the subjects make incremental lifestyle changes focusing on diet adjustments and behavioural changes through the suggested physical, mental activities that are verified by the psychiatrist. Further, the subjects are notified to report the flare-up’s during or after reintroduction phase of the program.
[0228] Further, the system receives the reported flare-ups for the IBS symptoms experienced by the user during a certain period of time and based on the reported flare-up, the system assesses level of impact of IBS symptoms on the user, wherein the levels of impact are categorized into very low, low, moderate, high and very high. Further, the system determines a score for the Reintroduction phase based on the characteristics as shown in Table 3.
Table 3
Re-Intro Bloating Re-Intro Diarrhoea Re-Intro Constipation Re-Intro Abdominal Pain Re-Intro Impact Re-Intro Score
- 0 - 1 Very low 96
- 2 - 7 Moderate 32
0 0 1 0 Low 75
2 3 0 0 Moderate 68
0 0 0 4 Very high 32
0 3 0 1 Very low 79
1 0 2 0 Very low 82
1 1 0 0 Very low 82
- 3 2 - Low 60
2 3 0 4 Very high 25

[0229] Table 3 shows the study data of 10 participants recorded at week 11 of 14-week pilot interventions, the average score recoded during the Reintroduction phase was 63.1 (e.g., from 0 (minimum) to 100 (maximum)). Further, the subjects were grouped based on the responses received on the core symptoms, frequency of IBS symptoms (like abdominal pain, bloating, constipation, diarrhoea, and the like) and impacts of IBS on the quality of life. Further, the grouped subjects were categorized and displayed based on the no. of patients experiencing the specific IBS symptom over a period of time, wherein said colour coded categories include, red colour indicating high, orange colour indicating moderate and green colour indicating low impact of the IBS symptoms.
[0230] After determining the score for the reintroduction phase, the participants are transitioned to a sustenance phase wherein the revised personalized recommendation is initiated by implementing the steps of methods 300, and 400 described above. Based on the determined score at reintroduction phase, the system generates the revised personalized recommendations for the subjects individually, wherein the subjects make incremental lifestyle changes focusing on diet adjustments and behavioural changes through the suggested physical, mental activities that are verified by the psychiatrist. Further, the subjects are notified to report the flare-up’s during or after the phase of the program.
[0231] Further, the system receives the reported flare-ups for the IBS symptoms experienced by the user during a certain period of time and based on the reported flare-up, the system assesses level of impact of IBS symptoms on the user, wherein the levels of impact are categorized into very low, low, moderate, high and very high. Further, the system determines a score at the sustenance phase based on the characteristics as shown in Table 4.
Table 4
Sustenance Bloating Sustenance Diarrhoea Sustenance Constipation Sustenance Abdominal Pain Sustenance Impact Sustenance Score
3 - 0 4 Moderate 64
- - - 5 Low 79
2 2 1 2 Moderate 64
3 4 2 3 Moderate 54
0 0 0 1 Very low 96
2 2 2 3 Low 71
1 0 1 0 Low 82
0 0 0 5 Very high 25
4 2 3 3 High 35
2 0 0 0 Very low 88

[0232] Table 4 shows the study data of 10 participants recoded at week 14 of the 14-week pilot program, the average score recorded at the sustenance phase was 65.8 (e.g., from 0 (minimum) to 100 (maximum)). Further, the system understands the long-term impact and progress after the program and establishes a long term wellness with habits and routines that promote sustained relief.
[0233] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the preferred embodiments of the invention will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be implemented merely as illustrative of the invention and not as a limitation.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0234] The present disclosure provides a system and a method for regulating Irritable Bowel Syndrome (IBS) in users.
[0235] The present disclosure provides a system and a method that helps individuals gain a deeper understanding of their IBS symptoms, triggers, and patterns. Thus enabling awareness to make informed decisions about user’s diet, lifestyle, and treatment options.
[0236] The present disclosure provides a system and a method that enables regular monitoring of individuals with valuable data to share with their healthcare providers during appointments.
[0237] The present disclosure provides a system and a method that helps individuals identify specific triggers that exacerbate their IBS symptoms, such as certain foods, stressors, or environmental factors.
[0238] The present disclosure provides a system and a method that minimizes exposure to triggers, reducing the frequency and severity of symptom flare-ups.
[0239] The present disclosure provides a system and a method that provides individuals with valuable data to share with their healthcare providers during appointments.
[0240] The information can facilitate productive discussions about treatment progress, symptom management strategies, and the need for adjustments to the condition management plan.
,CLAIMS:1. A personalized health management system (102) for providing recommendations to a user diagnosed with IBS and related symptoms, comprising:
a processor (202); and
a memory (204) operatively coupled with the processor (202), wherein said memory (204) stores instructions which, when executed by the processor (202), cause the processor (202) to:
receive one or more datasets associated with a user, wherein the one or more datasets comprise information associated with the user;
determine a current IBS symptom score associated with the user based on the received one or more datasets;
compute a target IBS symptom score based on the current IBS symptom score of the user; and
recommend a personalized plan, through one or more of the following steps:
a) initiate and execute a gut cleansing phase (214) to arrive first IBS symptom score at the end of the gut cleanse phase;
b) assess the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute a reintroduction phase (216) to arrive second IBS symptom score at the end of the reintroduction phase (216);
c) assess the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score; and
d) assess the third IBS symptom score at a sustenance phase (218) to determine the long-term impacts, of the said personalized plan on IBS symptoms, and associated improvements, and optionally further revise the personalized plan to arrive at and maintain the target IBS symptom score.
2. The system (102) as claimed in claim 1, wherein said dataset comprises one or more of the dietary data, physiological data, psychological data, one or more biological parameters, and symptom severity data associated with the user.
3. The system (102) as claimed in claim 1, wherein said current IBS symptom score is determined by collecting and analyzing one or more data sets, via user profile, questionnaire, user feedback, wearable devices, and the like.
4. The system (102) as claimed in claim 1, wherein said target IBS symptom score is a personalized score set for the user to be achieved at the end of the sustenance phase (218).
5. The system (102) as claimed in claim 1, wherein to initiate the gut cleansing phase (214), the processor (202) is configured to identify and eliminate, one or more of less compatible foods, and recommend one or more compatible food based on the user profile and current IBS symptom score.
6. The system as claimed in claim 5, wherein said gut cleansing phase (214) optionally includes, one or more of, recommending personalized diet, physical and mental activities, compliance assessment, collecting feedback, providing a dynamic assessment of the first IBS symptom score, and providing a revised recommendation.
7. The system (102) as claimed in claim 5, wherein one or more compatible food recipes are identified and recommended by a process comprising, including but not limited to:
a) receiving, one or more original food recipes from one or more data sources;
b) generating, one or more curated food recipes by modifying one or more original food recipes; and
c) recommending, one or more personalized compatible food recipes to the user.
8. The system (102) as claimed in claim 1, wherein to initiate the reintroduction phase (216), the processor (202) is configured to reintroduce, one or more of the less compatible foods, in a predetermined and controlled manner to assess the user’s tolerance levels for the less compatible foods.
9. The system (102) as claimed in claim 8, wherein said reintroduction phase (216) optionally includes, one or more, real-time assessments of the second IBS symptom score, identifying the symptom triggers, compliance assessment, collecting feedback, and recommending revised personalized diet, physical and mental activities.
10. The system (102) as claimed in claim 8, wherein one or more less compatible food recipes are identified and recommended by the following process, including but not limited to:
a) receiving one or more food recipes modified at the gut cleanse phase; and
b) generating one or more curated food recipes by reintroducing one or more less compatible food recipes in the recommended diet plan.
11. The system (102) as claimed in claim 1, wherein at the end of the sustenance phase (218), the processor (202) is configured to generate and display a comprehensive analysis report comprising, compatible food items, less compatible food items, reported symptoms, flare up reports, adherence, revised personalized plan, achieved IBS symptom score, and the like.
12. A system (102) for generating one or more curated food recipes for a user diagnosed with IBS and related symptoms, wherein the processor (202) is configured to:
a) receive one or more original food recipes from one or more data sources;
b) identify one or more food ingredients in said food recipe;
c) determine the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutrition requirements;
d) classify the identified one or more ingredients based on one or more of the categories, class, variety, nutritional content, compatibility with the user’s condition and symptoms associated with the one or more ingredients;
e) optionally compare the classified one or more ingredients with one or more co-morbid conditions of the user;
f) determine and assign a Gut Index (GI) score to the classified one or more ingredients; and
g) modify or alter one or more food ingredients, when the GI score exceeds a threshold level based on one or more of the user’s profile, preferences, co-morbid conditions, and the like, wherein said modification includes one or more of eliminating, adding, replacing, and quantifying the ingredients; and
h) generate and recommend one or more personalized food recipes to the user.
13. The system (102) as claimed in claim 12, wherein said generation of one or more curated food recipe optionally includes, receiving inputs from a food expert for the one or more curated food recipes to ensure a balance of nutrition, taste, texture and essence of the original food recipe.
14. The system (102) as claimed in claim 12, wherein said generation of one or more curated food recipes optionally includes, dynamic recommendations of detailed ingredients, preparation steps, cooking instructions, caloric information, and micro and macronutrients for the generated one or more curated food recipes.
15. A method (300) for personalized health management to provide recommendations for a user diagnosed with IBS and related symptoms, comprising:
receiving (302), by a processor (202), one or more datasets associated with a user, wherein said one or more datasets comprise information associated with the user;
determining (304), by the processor (202), a current IBS symptom score associated with the user based on the received datasets;
computing (306), by the processor (202), a target IBS symptom score based on the current IBS symptom score of the user; and
recommending, by the processor (202), a personalized plan, through one or more of the following steps:
a) initiating (308) and executing a gut cleansing phase to arrive first IBS symptom score at the end of the gut cleanse phase;
b) assessing (310) the first IBS symptom score and subsequently recommend, a revised personalized plan to initiate and execute a reintroduction phase to arrive second IBS symptom score at the end of the reintroduction phase;
c) assessing (312) the second IBS symptom score to identify the one or more symptoms or triggers associated with the revised personalized plan and optionally curate the personalized plan to arrive third IBS symptom score; and
d) assessing (314) the third IBS symptom score at a sustenance phase to determine the long-term impacts, of the said personalized plan on IBS symptoms, and associated improvements, and optionally further revise the personalized plan to arrive at and maintain the target IBS symptom score.
16. The method (300) as claimed in claim 15, wherein said dataset comprises one or more of the dietary data, physiological data, psychological data, one or more biological parameters and symptom severity data associated with the user.
17. The method (300) as claimed in claim 15, wherein determining said current IBS symptom score by collecting and analysing one or more data sets, via user profile, questionnaires, user feedback, wearable device, and the like.
18. The method (300) as claimed in claim 15, wherein said target IBS symptom score is a personalized score set for the user to be achieved at the end of the sustenance phase.
19. The method (300) as claimed in claim 15, wherein to initiate the gut cleansing phase, said method (300) comprises identifying and eliminating, one or more of less compatible foods, and recommending one or more compatible foods based on the user profile and current IBS symptom score.
20. The method (300) as claimed in claim 19, wherein to initiate said gut cleansing phase said method (300) optionally includes, one or more of, recommending personalized diet, physical and mental activities, compliance assessment, collecting feedback, providing a dynamic assessment of the first IBS symptom score and providing a revised recommendation.
21. The method (300) as claimed in claim 19, wherein to identify and recommend one or more compatible food recipes, said method (300) comprises:
a) receiving one or more original food recipes from one or more data sources;
b) generating one or more curated food recipes by modifying one or more original food recipes; and
c) recommending one or more personalized compatible food recipes to the user.
22. The method (300) as claimed in claim 15, wherein to initiate the reintroduction phase, said method (300) comprises reintroducing, one or more of the less compatible foods, in predetermined and controlled manner to assess the user’s tolerance levels for the less compatible foods.
23. The method (300) as claimed in claim 22, wherein to initiate the reintroduction phase, said method (300) optionally includes, one or more, real-time assessments of the second IBS symptom score, identifying the symptom triggers, compliance assessment, collecting feedback, and recommending revised personalized diet, physical and mental activities.
24. The method (300) as claimed in claim 22, wherein to identify and recommend one or more less compatible food recipes, said method (300) comprises:
a) receiving one or more food recipes modified at the gut cleanse phase; and
b) generating one or more curated food recipes by reintroducing one or more less compatible food recipes in the recommended diet plan.
25. The method (300) as claimed in claim 15, wherein to generate and display a comprehensive analysis report at the end of the sustenance phase, said method (300) comprises of displaying compatible foods, less compatible foods, reported symptoms, flare-up reports, adherence, revised personalized plan, achieved IBS symptom score, and the like.
26. A method (400) for generating one or more curated food recipes for a user diagnosed with IBS and related symptoms, comprising:
receiving (402), by a processor (202), one or more original food recipes from one or more data sources;
identifying (404), by the processor (202), one or more food ingredients in said food recipe;
determining (406), by the processor (202), the nutritional value and quantify the identified one or more food ingredients based on the user’s daily nutrition requirements;
classifying (408), by the processor (202), the identified one or more ingredients based on one or more of the category, class, variety, nutritional content, compatibility with user’s condition and symptoms associated with the one or more ingredients;
optionally comparing (410), by the processor (202), the classified one or more ingredients with one or more co-morbid conditions of the user;
determining and assigning (412), by the processor (202), a Gut Index (GI) score to the classified one or more ingredients; and
modifying or altering (414), by the processor (202), one or more food ingredients, when GI score exceeds a threshold level based on one or more of the user’s profile, preferences, co-morbid conditions, and the like, wherein the modification includes one or more of eliminating, adding, replacing and quantifying the ingredients; and
generating and recommending (416), by the processor (202), the one or more personalised food recipes to the user.