1. A system for determining psychological disability in a user, comprising: a)an input module for receiving responses to a questionnaire related to the user's psychological state; b)an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability; and c)an output module for presenting the determined psychological disability to the user.

2. The system of claim 1, wherein the input module comprises a user interface for displaying the questionnaire and receiving responses from the user.

3. The system of claim 1, wherein the artificial intelligence module comprises a natural language processing algorithm trained to analyze free-form text responses to the questionnaire.

4. The system of claim 1, wherein the output module presents the determined psychological disability in the form of a personalized report or visual representation on a computing device.

5. A method for determining psychological disability in a user, comprising: a) presenting a questionnaire to the user related to the user's psychological state; b) receiving responses to the questionnaire from the user; c) analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability; and d)presenting the determined psychological disability to the user.

6. The method of claim 5, wherein the questionnaire comprises one or more validated scales for measuring depression, anxiety, and/or other psychological disorders.

7. The method of claim 5, wherein the artificial intelligence algorithm is a machine learning algorithm trained on a dataset of user responses to the questionnaire.

8. The method of claim 5, wherein the determined psychological disability is presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire. ARTIFICIAL INTELLIEGNCE BASED QUESTIONNAIRE TO DETERMINE PSYCHOLOGICAL DISABILITY Abstract Embodiments of the present disclosure may include a system for determining psychological disability in a user, including an input module for receiving responses to a questionnaire related to the user's psychological state. Embodiments may also include an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability. Embodiments may also include an output module for presenting the determined psychological disability to the user. , Claims:Claims :

1. A system for determining psychological disability in a user, comprising: a)an input module for receiving responses to a questionnaire related to the user's psychological state; b)an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability; and c)an output module for presenting the determined psychological disability to the user.

2. The system of claim 1, wherein the input module comprises a user interface for displaying the questionnaire and receiving responses from the user.

3. The system of claim 1, wherein the artificial intelligence module comprises a natural language processing algorithm trained to analyze free-form text responses to the questionnaire.

4. The system of claim 1, wherein the output module presents the determined psychological disability in the form of a personalized report or visual representation on a computing device.

5. A method for determining psychological disability in a user, comprising: a) presenting a questionnaire to the user related to the user's psychological state; b) receiving responses to the questionnaire from the user; c) analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability; and d)presenting the determined psychological disability to the user.

6. The method of claim 5, wherein the questionnaire comprises one or more validated scales for measuring depression, anxiety, and/or other psychological disorders.

7. The method of claim 5, wherein the artificial intelligence algorithm is a machine learning algorithm trained on a dataset of user responses to the questionnaire.

8. The method of claim 5, wherein the determined psychological disability is presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire.

Description:ARTIFICIAL INTELLIEGNCE BASED QUESTIONNAIRE TO DETERMINE PSYCHOLOGICAL DISABILITY

Field of the Invention
[0001] The present invention relates generally to psychological disability evaluation and management, more particularly to a system and method to identify a psychological disability of a person.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The cost to society of psychological incapacity is significant. The analysis of professional literature revealed dramatic growth in claims for psychiatric disability during the previous two decades. In an unfortunate attempt to avoid or reduce business, medical, and mental health costs, the majority of firms, medical, and mental health experts either are not aware of the effects of psychological difficulties in the workplace and personal life, or they prefer to ignore them. Both of these approaches result in inefficient psychological claim evaluation and management as well as elevated business, healthcare, and mental health expenses.
[0004] Traditional methods of diagnosing psychological disorders typically involve a comprehensive clinical interview, which can be time-consuming and resource-intensive. Additionally, patients may not feel comfortable discussing their symptoms openly, which can lead to misdiagnosis or underdiagnosis of conditions. However, with advances in AI technology, there is an opportunity to develop more efficient and accurate ways to assess psychological disorders.
[0005] One area where AI shows great promise is in the development of questionnaires that use natural language processing (NLP) to assess patients' symptoms. NLP is a branch of AI that focuses on the interaction between computers and humans using natural language. NLP algorithms can be trained to recognize patterns in language use that are indicative of specific psychological disorders. By analyzing patient responses to specific questions, an AI-based questionnaire can provide a more accurate diagnosis of psychological disorders.
[0006] AI-based questionnaires have several advantages over traditional diagnostic methods. First, they can be administered remotely, making them more accessible to patients who may have difficulty traveling to a clinic. Second, they can be administered quickly, allowing healthcare providers to diagnose and treat patients more efficiently. Finally, AI-based questionnaires can reduce the stigma associated with seeking help for mental health problems, as patients can complete the questionnaire in the privacy of their own homes.
[0007] Various technological solutions (e.g., detection of disease conditions and comorbidities, device for determining and monitoring neurological or muscle disorder, and method for determining motor impairment, etc.) are disclosed in patent literature. Few of the exemplary documents are discussed below.
[0008] US20210106288A1 (By: HOWARD NEWTON) discloses new computational approach may provide improved detection of disease conditions and comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an embodiment, a computer-implemented method for detecting a disease condition may comprise receiving a plurality of data streams, each data stream representing a measurement of a brain activity comprising physical and chemical phenomena and performing pattern analysis on the plurality of data streams to detect at least one fundamental code unit of a brain code corresponding to a disease condition based on a combination of the plurality of data streams.
[0009] JP2021121323A (By: DAVID BURTON) provides a device for determining and monitoring neurological or muscle disorder, the device comprises: a sensor for acquiring an electromyogram (EMG) signal of a subject, the EMG signal being used for determining a rem stage of sleep, EMG signal being used for determining presence of atony, the EMG signal being used for determining presence of rem sleep behavior disorder (RBD), the sensor being used for acquiring a signal for measuring or monitoring walking of the subject.
[00010] EP2007277A2 (By: MIROW SUSAN) discloses method, apparatus and software for diagnosing the state or condition of a human which always generates physiological modulated signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least on physiological modulated signal and obtaining a set of temporal- spatial values of each of said physiological modulated signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person.
[00011] US9427185B2 (By: MICROSOFT TECHNOLOGY LICENSING) directed towards monitoring user behavior on a computerized device for any deviation from normal or acceptable behavior that is likely to affect the user's mental state. A prediction model corresponding to features of one or more mental states may be compared with features based upon current user behavior. If the user's current behavior presents a mental state indicative of an uncharacteristic deviation from the normal or acceptable behavior, descriptive data associated with that mental state may be presented to the user in addition to a trusted individual, such as a health care professional.
[00012] However, the technological solutions for determination of mental state suffers from various limitations such as, high-error rates, etc. Therefore, more advancement in this field of technology is required. More specifically, to a system and method to identify a psychological disability of a person.
[00013] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.

Summary
[00014] The present invention relates generally to psychological disability evaluation and management, more particularly to a system and method to identify a psychological disability of a person.
[00015] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00016] The following paragraphs provide additional support for the claims of the subject application.
[00017] Embodiments of the present disclosure may include a system for determining psychological disability in a user, including an input module for receiving responses to a questionnaire related to the user's psychological state. Embodiments may also include an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability. Embodiments may also include an output module for presenting the determined psychological disability to the user.
[00018] Embodiments of the present disclosure may also include an input module may include a user interface for displaying the questionnaire and receiving responses from the user.
[00019] Embodiments of the present disclosure may also include a natural language processing algorithm trained to analyze free-form text responses to the questionnaire.
[00020] Embodiments of the present disclosure may also include the output module presents the determined psychological disability in the form of a personalized report or visual representation on a computing device.
[00021] Embodiments of the present disclosure may also include a method for determining psychological disability in a user, including presenting a questionnaire to the user related to the user's psychological state. Embodiments may also include receiving responses to the questionnaire from the user. Embodiments may also include analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability. Embodiments may also include presenting the determined psychological disability to the user.
[00022] In some embodiments, the questionnaire may include one or more validated scales for measuring depression, anxiety, and/or other psychological disorders. In some embodiments, the artificial intelligence algorithm may be a machine learning algorithm trained on a dataset of user responses to the questionnaire. In some embodiments, the determined psychological disability may be presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire.

Brief Description of the Drawings
[00023] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00024] FIG. 1 is a block diagram illustrating a system to determine psychological disability to the user, according to some embodiments of the present disclosure.
[00025] FIG. 2 is another block diagram illustrating the system to determine psychological disability to the user, according to some embodiments of the present disclosure.
[00026] FIG. 3 is one more exemplarily block diagram illustrating the system, according to some embodiments of the present disclosure.
[00027] FIG. 4 is a block diagram illustrating the system, according to some embodiments of the present disclosure.
[00028] FIG. 5 is a flowchart illustrating a method for determining psychological disability in a user, according to some embodiments of the present disclosure.
Detailed Description
[00029] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00030] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00031] Following are more detailed descriptions of various concepts related to, and implementations of, methods, apparatuses, and systems of present disclosure. The various concepts introduced above and discussed in greater detail below may be implemented in any of numerous ways.
[00032] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00033] The present invention relates generally to psychological disability evaluation and management, more particularly to a system and method to identify a psychological disability of a person.
[00034] FIG. 1 is a block diagram illustrating a system to determine psychological disability to the user, according to some embodiments of the present disclosure. In some embodiments, the system 100 may include an input module 110 for receiving responses to a questionnaire related to the user's psychological state, an artificial intelligence module 120 configured to analyze the received responses and determine the presence of psychological disability, and an output module 130 for presenting the determined psychological disability to the user.
[00035] FIG. 2 is another block diagram illustrating the system to determine psychological disability to the user, according to some embodiments of the present disclosure. In some embodiments, the input module 220 may include a user interface 222 for displaying the questionnaire and receiving responses from the user.
[00036] FIG. 3 is one more exemplarily block diagram illustrating the system 310, according to some embodiments of the present disclosure. In some embodiments, the artificial intelligence module 320 may include a natural language processing algorithm 322 trained to analyze free-form text responses to the questionnaire.
[00037] FIG. 4 is a block diagram that describes the system 400, according to some embodiments of the present disclosure. In some embodiments, the output module may present the determined psychological disability in the form of a personalized report or visual representation on a computing device.
[00038] FIG. 5 is a flowchart that describes a method for determining psychological disability in a user, according to some embodiments of the present disclosure. In some embodiments, at 510, the method may include presenting a questionnaire to the user related to the user's psychological state. At 520, the method may include receiving responses to the questionnaire from the user. At 530, the method may include analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability. At 540, the method may include presenting the determined psychological disability to the user.
[00039] In some embodiments, the questionnaire may comprise one or more validated scales for measuring depression, anxiety, and/or other psychological disorders. In some embodiments, the artificial intelligence algorithm may be a machine learning algorithm trained on a dataset of user responses to the questionnaire. The determined psychological disability may be presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire.
[00040] A system for identifying a user's psychological impairment is one embodiment of the present disclosure. Such a system may comprise an input module for receiving answers to a questionnaire on the user's mental health. Certain embodiments may additionally make use of an AI module designed to assess the replies received and identify cases of mental impairment. The output module in some embodiments is used to inform the user about the identified psychological impairment. The input module may, in some implementations, provide a user interface for presenting the questionnaire and collecting user replies.
[00041] The AI component might, in some configurations, have a natural language processing system optimised for sifting through narrative descriptions of one's life experiences. The identified psychological impairment may be presented in a variety of ways, including a customised report or a graphic depiction on a computer, depending on the implementation.
[00042] This disclosure may also be embodied as a mechanism for assessing a user's psychological impairment, for as by providing the user with a quiz on the user's mental health. User feedback in the form of completed questionnaires is another possible embodiment. In certain embodiments, an AI system is used to decipher the replies in order to identify signs of mental impairment. In certain embodiments, the user is shown their specific psychological impairment.
[00043] The questionnaire may, in certain implementations, include one or more validated scales for the assessment of psychiatric illnesses including depression, anxiety, and so on. A machine learning algorithm that has been fed a dataset consisting of people's answers to the questionnaire is one example of an AI algorithm that may be used in certain implementations. A score or severity rating for each condition evaluated by the questionnaire may be offered to the user in certain implementations to help them make sense of the indicated psychological handicap.
[00044] Variations of those preferred embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than as specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context.
[00045] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00046] All references to a/an/the element, apparatus, component, means, step, etc. are to be interpreted as referring to at least one instance of the element, apparatus, component, means, step, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated. The discussion above and below in respect of any of the aspects of the present disclosure is also in applicable parts relevant to any other aspect of the present disclosure.
[00047] The wordings such as include, including, comprise and comprising do not exclude elements or steps which are present but not listed in the description and the claims.
[00048] It also shall be noted that as used herein and in the appended claims, the singular forms a, an, and the include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
[00049] Various techniques may be described herein in the general context of software, hardware elements, or program modules. Generally, such modules include routines, programs, objects, elements, components, data structures, and so forth that perform particular tasks or implement particular abstract data types. The terms module, functionality, and component as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of commercial computing platforms having a variety of processors.

Claims
I/We Claim:
1. A system for determining psychological disability in a user, comprising:
a)an input module for receiving responses to a questionnaire related to the user's psychological state;
b)an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability; and
c)an output module for presenting the determined psychological disability to the user.
2. The system of claim 1, wherein the input module comprises a user interface for displaying the questionnaire and receiving responses from the user.
3. The system of claim 1, wherein the artificial intelligence module comprises a natural language processing algorithm trained to analyze free-form text responses to the questionnaire.
4. The system of claim 1, wherein the output module presents the determined psychological disability in the form of a personalized report or visual representation on a computing device.
5. A method for determining psychological disability in a user, comprising:
a) presenting a questionnaire to the user related to the user's psychological state;
b) receiving responses to the questionnaire from the user;
c) analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability; and
d)presenting the determined psychological disability to the user.
6. The method of claim 5, wherein the questionnaire comprises one or more validated scales for measuring depression, anxiety, and/or other psychological disorders.
7. The method of claim 5, wherein the artificial intelligence algorithm is a machine learning algorithm trained on a dataset of user responses to the questionnaire.
8. The method of claim 5, wherein the determined psychological disability is presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire.

ARTIFICIAL INTELLIEGNCE BASED QUESTIONNAIRE TO DETERMINE PSYCHOLOGICAL DISABILITY

Abstract
Embodiments of the present disclosure may include a system for determining psychological disability in a user, including an input module for receiving responses to a questionnaire related to the user's psychological state. Embodiments may also include an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability. Embodiments may also include an output module for presenting the determined psychological disability to the user.
, Claims:Claims
I/We Claim:
1. A system for determining psychological disability in a user, comprising:
a)an input module for receiving responses to a questionnaire related to the user's psychological state;
b)an artificial intelligence module configured to analyze the received responses and determine the presence of psychological disability; and
c)an output module for presenting the determined psychological disability to the user.
2. The system of claim 1, wherein the input module comprises a user interface for displaying the questionnaire and receiving responses from the user.
3. The system of claim 1, wherein the artificial intelligence module comprises a natural language processing algorithm trained to analyze free-form text responses to the questionnaire.
4. The system of claim 1, wherein the output module presents the determined psychological disability in the form of a personalized report or visual representation on a computing device.
5. A method for determining psychological disability in a user, comprising:
a) presenting a questionnaire to the user related to the user's psychological state;
b) receiving responses to the questionnaire from the user;
c) analyzing the received responses using an artificial intelligence algorithm to determine the presence of psychological disability; and
d)presenting the determined psychological disability to the user.
6. The method of claim 5, wherein the questionnaire comprises one or more validated scales for measuring depression, anxiety, and/or other psychological disorders.
7. The method of claim 5, wherein the artificial intelligence algorithm is a machine learning algorithm trained on a dataset of user responses to the questionnaire.
8. The method of claim 5, wherein the determined psychological disability is presented to the user in the form of a score or severity rating for each disorder assessed by the questionnaire.