Description:TITLE OF THE INVENTION
Artificial Intelligence assisted Youth wellness model for prevention of Suicide among college going students
FIELD OF THE INVENTION
This invention relates to Artificial Intelligence assisted Youth wellness model for prevention of Suicide among college going students.
BACKGROUND OF THE INVENTION
College going students (20 -25 Year) have been reported to have the higher prevalence of depression than adolescent in a recent metanalysis by (Fernandes MDSV et all 2023) and studied to be higher risk of suicidal thought and ideation among college going students due to their psychosocial issues and development. Depression has been studied to be one of the major causes of Suicide ideation. Suicide is one of the fourth leading cause of death among youth age group of 15-29 year as per the report of World Health Organization (Ladi-Akinyemi T et all 2023). Depression observed to be the significant risk factor among this age group due to family conflict, academic pressure, emotional instability which predispose them for the suicidal ideation. Suicide is not a simple problem rather it’s a complication of preexisting mental, physical, social and emotional disorder in human being. One suicide is only the tip of ice berg which reflects a huge submerge unaddressed and unseen portion of disease. Nevertheless, Suicide has always been addressed a s a mental health problem, it’s a syndrome which is resulting from the group of external and internal behavioral and emotional risk factor which break the wellness of person in whole. Suicide related behavior (SRB) is now a growing concern among college students all around the world. “Youth wellness model” is skill based, multicomponent behavioral model to prevent key Suicidal risk factor among college going students and trainees. One suicide reported at any college or community itself indicates that 20 others may have been attempted suicide at same place (Ladi-Akinyemi T et all 2023). Social stigma associated with Suicide leads to underreporting of cases and reason for suicidal thought and ideation. This Model has developed from evidenced based theories and studies which resulted with positive outcome with reduce life style behavior risk for suicide as Physical activity, unhealthy dietary modification, reduction in stress, emotional regulation, substance use, alcohol addiction etc. This model can be of greater use when it is made accessible through AI driven mobile application. This application will provide a user-friendly interface through which users can interact with generative AI chatbots. Also, this mobile application will host number of internationally recognized modules which are very useful for referring mental health related procedures and protocols.
KR102020598B1 For early diagnosis and curing of mental diseases for the whole class including children, adolescents, seniors, the present invention proposes a biofeedback system through extracting user effective biometric data in response to experiential content by using data measured through a virtual/augmented reality device capable of measuring bio signals. According to the present invention, the system analyzes the bio signals such as heart rate and gaze movement acquired through the integrated virtual/augmented reality device equipped with a bio signal measurement sensor, and provides realistic augmented reality content to improve accessibility for a mental patient and achieve effective early diagnosis and curing through interaction between a user and content. In addition, according to the present invention, the system provides biofeedback-based experience, curing, and training content suitable for purposes and characteristics of mental diseases such as depression, ADHD, and mild cognitive impairment by utilizing techniques such as haptic interaction, biosignal analysis, and pupil data analysis on the basis of the biosignals (biometric data) measured by using the virtual/augmented reality device integrated with the biosignal measurement sensor.
RESEARCH GAP:
Helps in identifying mental health status of a person through manual as well as AI-Assisted analysis, thus early intervention and personalized care can be ensured.
Provides generative AI chatbots for information dissemination and helps in raising awareness.
Database of various internationally recognized support modules, protocols and procedures which helps in knowing various coping strategies. The modules are useful tool in training of experts, specialists, faculty parents and peers.
US11432769B2 Apparatus, systems, and methods for monitoring a sensor module mounted in a sensor platform, wherein the sensor platform includes an adhesive side and a pocket, wherein the pocket is designed to receive the sensor module, to facilitate sensing by the sensor module of physiological attributes, and to allow insertion and removal of the sensor device from the pocket.
RESEARCH GAP:
Features predictive analytics on datasets which can play an important role in early detection of emotional distress and risk management.
AI- powered virtual support groups which is handy tool to connect digitally with peers facing similar challenges. This functionality act as a in hand virtual assistant.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Artificial Intelligence assisted Youth wellness model for prevention of Suicide among college going students.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The concept of “Youth Wellness Model” is derived from The (CDC)’s social-ecological model to prevention of any health risk of disease public health .It’s based on the four tier frame work
societal, community/contextual, social/relational, and individual levels. Youth wellness Model is a multi-component model comprises of Physical, Mental, Social and Spiritual domain of health. This model is based on the sensitization, realization, acceptance and action. The four tier framework are:
1) Societal- College campus suicidal plan and policy through university administration Constitution of Youth wellness team and Nodal officers.
2) Community/contextual- Creation of boss help group (A mentorship Program among seniors and Juniors Establishment of Compressive counselling centres for students in schools /colleges supervised by Students union.
3) Interpretational /Relational – Gate keeper training of college management and faculty , parents , peer.
4) Individual – Life style management, Screening for risk for NCDs (integration between NCD risk and mental health),Stress management workshop of Students etc.
The mobile application for a youth wellness model is built on a robust framework that integrates various components for a user-friendly experience. The backend uses Node.js and Express.js for scalable and efficient server-side applications, while Firebase Cloud Messaging is integrated for real-time communication and push notifications to keep users engaged and informed. This robust framework ensures a responsive and dynamic server environment. The mobile application uses user-side technologies to create an intuitive and visually appealing interface, prioritizing accessibility and ease of use. It seamlessly interacts with the backend, providing a seamless wellness experience. The model uses MySQL for efficient database management, ensuring user information integrity and security. MySQL's structured nature is well-suited for handling diverse data generated by the Youth Wellness Model, supporting activities like user profiles and wellness progress tracking. Firebase Authentication is integrated into the architecture to enhance security measures, ensuring that user data is protected and access is restricted to authorized individuals. This component enables secure user authentication, allowing only legitimate users to access the wellness features and personalized content within the application. The mobile application architecture for the Youth Wellness Model is carefully crafted to balance functionality, security, and user experience. Through the integration of Node.js, Express.js, Firebase Cloud Messaging, Firebase Authentication, and MySQL, the model aims to provide a technologically advanced and user-centric platform for promoting youth wellness and mental health. Wellness of human being encompass an overall approach to health. This model considered four key themes that can contribute to overall well-being of human life. the four wellness themes are physical health, Mental health, Social wellness, spiritual wellness. main focus of physical health is on maintaining a healthy body through regular exercises, Dancing class, Class room Yoga Fitness goal, Stair welfare programme, Peer fitness group, Nutrition DASH Diet /Meditation diet. While mental health is concerned primarily with emotional and psychological well-being, physical health is about keeping the body in good condition through exercise, diet, and relaxation. It promotes a way of living that fosters longevity and vitality and acknowledges the interdependence of stress reduction, resilience development, and an optimistic outlook as essential components of mental health.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1. MOBILE APPLICATION ARCHITECTURE ALONG WITH ALL THE FUNCTIONALITIES
FIGURE 2. AI-ASSISTED MOBILE APPLICATION OPERATIONAL PARAMETERS FOR IMPLEMENTING YOUTH WELLNESS MODEL
FIGURE 3. GENERATIVE AI FEATURE OF THE APPLICATION FOR REAL TIME INFORMATION DISSEMINATION
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The concept of “Youth Wellness Model” is derived from The (CDC)’s social-ecological model to prevention of any health risk of disease public health .It’s based on the four tier frame work
societal, community/contextual, social/relational, and individual levels. Youth wellness Model is a multi-component model comprises of Physical, Mental, Social and Spiritual domain of health. This model is based on the sensitization, realization, acceptance and action. The four tier framework are:
1) Societal- College campus suicidal plan and policy through university administration Constitution of Youth wellness team and Nodal officers.
2) Community/contextual- Creation of boss help group (A mentorship Program among seniors and Juniors Establishment of Compressive counselling centres for students in schools /colleges supervised by Students union.
3) Interpretational /Relational – Gate keeper training of college management and faculty , parents , peer.
4) Individual – Life style management, Screening for risk for NCDs (integration between NCD risk and mental health),Stress management workshop of Students etc.
The mobile application for a youth wellness model is built on a robust framework that integrates various components for a user-friendly experience. The backend uses Node.js and Express.js for scalable and efficient server-side applications, while Firebase Cloud Messaging is integrated for real-time communication and push notifications to keep users engaged and informed. This robust framework ensures a responsive and dynamic server environment. The mobile application uses user-side technologies to create an intuitive and visually appealing interface, prioritizing accessibility and ease of use. It seamlessly interacts with the backend, providing a seamless wellness experience. The model uses MySQL for efficient database management, ensuring user information integrity and security. MySQL's structured nature is well-suited for handling diverse data generated by the Youth Wellness Model, supporting activities like user profiles and wellness progress tracking. Firebase Authentication is integrated into the architecture to enhance security measures, ensuring that user data is protected and access is restricted to authorized individuals. This component enables secure user authentication, allowing only legitimate users to access the wellness features and personalized content within the application. The mobile application architecture for the Youth Wellness Model is carefully crafted to balance functionality, security, and user experience. Through the integration of Node.js, Express.js, Firebase Cloud Messaging, Firebase Authentication, and MySQL, the model aims to provide a technologically advanced and user-centric platform for promoting youth wellness and mental health. Wellness of human being encompass an overall approach to health. This model considered four key themes that can contribute to overall well-being of human life. the four wellness themes are physical health, Mental health, Social wellness, spiritual wellness. main focus of physical health is on maintaining a healthy body through regular exercises, Dancing class, Class room Yoga Fitness goal, Stair welfare programme, Peer fitness group, Nutrition DASH Diet /Meditation diet. While mental health is concerned primarily with emotional and psychological well-being, physical health is about keeping the body in good condition through exercise, diet, and relaxation. It promotes a way of living that fosters longevity and vitality and acknowledges the interdependence of stress reduction, resilience development, and an optimistic outlook as essential components of mental health.
Vice chancellor of the university will be oriented for the need and concerns of the student’s wellbeing and increasing prevalence’s of depression and suicide among college’s students and benefit of this model will be addressed. Considering the need we request them to established a college campus suicide plan and depute a nodal officer for this exclusively. After obtaining the administrative permission from the respective collages, orientation session with aims and objective of the project will be conducted and rapport building with study participants will be done. Over the period of time Comprehensive Counselling Centres (CCC) will be open in the university to address students concerns which will be supervised by students themselves. Participants will be screened for risk assessment for Screening for life style behaviour risk for suicide ( Physical activity, Substance use, Dietary habits workplace stress, Alcohol use , internal addiction and Psychological and mental health risk for suicide ( Anxiety ,depression ,Interpersonal relationship, among participants after taking written consent from study participants. IPHQ (International physical Health questionnaire) for physical health and DAS21 will be applied to screen the common mental disorder among Participants.
1. AI-DRIVEN MOBILE APPLICATION AND ITS INTEGRATION WITH YOUTH WELLNESS MODEL
A cutting-edge response to this serious issue is offered via a mobile application powered by AI and integrated with a youth wellness model for digital mental health assistance. The user interface of the application is easy to use, giving consumers a smooth experience. It provides a number of features, such as tools for stress management and tailored wellness advice. By comprehending user inputs, the AI engine—which consists of Natural Language Processing (NLP), Machine Learning (ML), and decision-making algorithms—ensures a customized and sympathetic connection. In order to modify recommendations, machine learning algorithms examine user behavior and preferences. User data is protected by strong data management and storage technologies. With access limits and encryption mechanisms, privacy and security are given first priority.
Maintaining user confidence while guaranteeing adherence to data protection regulations is accomplished by ongoing monitoring and upgrades. A smartphone application that is in line with the Youth Wellness Model has been improved with an AI-assisted interface. Enhancing its efficacy, this novel technology offers users progress tracking, coping tactics, and individualized advice. The program addresses the difficulties of promoting mental health in the digital era by integrating artificial intelligence into the mobile application and providing a comprehensive and empowering tool for well-being. Following are the important consideration which have been included in this youth wellness model: College campus suicidal plan and policy through university administration, constitution of Youth wellness team and Nodal officers among faculty, creation of boss help group (A mentorship Program among seniors and juniors, establishment of Compressive counselling (CCC) centres for students in schools/colleges supervised by Students union, Gate keeper training of college management and faculty, parents, peer. Screening and assessment of life style behaviour risk for Suicide. (Physical activity, diet Substance use, Sleep, relationship etc) Early identification and diagnosis of risk for suicide (Personality disorder, Depression, Anxiety, Internet addiction etc). Intervention of Life style management session with Workplace Yoga, Meditation ,exercise, Ergonomics, Nutrition Wellness, Stress management workshop, sleep wellness, Behavioural & Interpersonal conflict management, coping mechanism, management workshop, Workshop on Smoking cessation Alcohol dependency Substance use and abuse, Sexual abuse Addiction, Workshop on Time management Financial Health Career counselling Leadership and personality development.
2. MENTAL HEALTH RELATED AI ENABLED TEXT GENERATIVE FEATURE OF THE APPLICATION
This program features an AI-enabled text generative feature that aims to provide all users with individualized and informed support in the form of real-time information. This represents a significant development towards the smart use of chatbots and real-time generative information. Data from a database of internationally recognized modules and mental health support procedures are acquired for the model training process.
Through the use of statistical and neural language models, it offers a thorough comprehension of the context and linguistic subtleties of this feature. In order to enhance the model's capacity to provide text responses that are sympathetic and contextually relevant, it is trained iteratively using a variety of datasets. After training, it is used to produce AI-enabled knowledge for the application, reacting to user questions and concerns in real-time. The database is constantly updated with real-time data created during interactions. The application is a dynamic tool for mental health care because of its feedback loop, which improves its accuracy and usefulness over time. Based on actual user experiences, it is constantly refining its comprehension and response, demonstrating the convergence of AI and mental health support and offering insightful advice. The Wellness Program aims to reduce the risk of suicide among college students by implementing a comprehensive approach. The program includes recruitment and training for staff, management, administration, and faculty, as well as a 15-day gatekeeper training for staff, management, administration, and faculty at each site. The program also includes screening for life style behavior risk factors such as physical activity, substance use, dietary habits, workplace stress, alcohol use, internal addiction, and psychological and mental health risks. The program also includes a Youth Wellness Program for students, with four sessions per two months, one at each site. Group leaders are created to encourage their group to follow wellness and report to the PI. A certified wellness teacher or volunteer is created for sustainability. The program coordinator and assistant monitor routines and provide feedback. The program also collaborates with various NGO/university/colleges to adopt the model through gatekeeper training for a sustainable model. The program coordinator and assistant monitor routines and provide feedback through reminders and telemedicine. The program also awards best performers for their performance in various aspects, such as yoga, exercise, and adequate nutrition. The program concludes with data collection from a similar questionnaire at the Youth Wellness Program, and the report preparation and submission are completed in the 12th month.

, Claims:
1. A youth wellness model has been proposed for the effective monitoring and prevention of mental health related issues which predispose them for suicidal ideation; and this model has been integrated with a mobile application for the better reach of this model; specifically targeting younger generation; and this application is AI driven which provides generative AI enabled information with the help of chatbots; and also, the application provides Virtual support groups and different modules protocols and procedures; and predictive Analytics can also be performed on the available databases for early detection of emotional distress and risk management.
2. The system as claimed in claim 1, wherein, helps in identifying mental health status of a person thus early intervention and personalized care can be ensured; and stigma from the mental health condition and suicide behavior among youth may be addressed .
3. The system as claimed in claim 1, wherein, provides generative AI chatbots for information dissemination and helps in raising awareness.
4. The system as claimed in claim 1, wherein, provides various internationally recognized support modules, protocols and procedures which helps in knowing various coping strategies; and the modules are useful tool in training of experts, specialists, faculty parents and peers.
5. The system as claimed in claim 1, wherein, provides predictive analytics on datasets which can play an important role in early detection of emotional distress and risk management.
6. The system as claimed in claim 1, wherein, provides virtual support groups which is handy tool to connect digitally with peers facing similar challenges; and this functionality act as a in hand virtual assistant.