A mental health assistance intervention system

Abstract

The present application provides a mental health auxiliary intervention system, which can combine cognitive behavioral therapy with smart terminals, and use smart terminals as carriers of cognitive behavioral therapy, which is not only conducive to popularizing the correct understanding of depression to a wider range of people and correcting people's prejudice against depression, but also because of the convenience and confidentiality of this method, it can well protect the privacy of depressed people, better eliminate the resistance of depressed people to psychological intervention, and enable users to discover depression in time, and can also give users timely psychological intervention, thereby greatly increasing the proportion of people who receive timely intervention in the depressed population. By matching the user's personal scale evaluation information with the reference scale evaluation information of the business card in the preset business card library to determine the target business card, the corresponding target intervention plan is obtained, and then the target intervention plan is decomposed into multiple phased tasks, and the phased tasks are pushed to the user in stages, which is conducive to effective intervention of the user.

Description

Technical Field

[0001] The present application relates to the field of mental health, and more specifically, to a mental health auxiliary intervention system. Background Art

[0002] Depression is the most common depressive disorder, with significant and persistent low mood as the main clinical feature, and is the main type of mood disorder. Clinically, it can be seen that the low mood is disproportionate to the situation. The depression of emotions can range from melancholy to grief, inferiority and depression, and even pessimism and world-weariness. There may be suicidal attempts or behaviors; even stupor; some cases have obvious anxiety and motor agitation; severe cases may have psychotic symptoms such as hallucinations and delusions. Each attack lasts for at least 2 weeks, and even several years for the elderly. Most cases tend to relapse. Most attacks can be relieved, and some may have residual symptoms or become chronic.

[0003] Scientific research has proven that cognitive behavioral psychotherapy is a method that can help us understand and control our own depression. It has significant therapeutic effects on the treatment of depression and is the first-line treatment option recommended by clinical treatment guidelines for depression in countries such as the United States, the United Kingdom, Canada, and China.

[0004] At present, due to the relatively slow development of the domestic mental health industry, the serious imbalance between supply and demand of psychologists, and the continued prejudice against depression among people, only a small number of people with depression can receive timely intervention, which is not conducive to the recovery of depressed patients. Summary of the invention

[0005] The purpose of the embodiment of the present application is to provide a psychological health auxiliary intervention system to reduce the resistance of depressed people to psychological intervention and provide them with timely psychological intervention.

[0006] In order to achieve the above purpose, the embodiments of the present application are implemented in the following manner:

[0007] In a first aspect, an embodiment of the present application provides a mental health auxiliary intervention system, including: an information acquisition unit, used to acquire a user's personal scale evaluation information, wherein the personal scale evaluation information includes a scale information part and a personal information part, the scale information part includes at least one of depression self-assessment questionnaire information, anxiety self-assessment questionnaire information, sleep self-assessment questionnaire information, Sheehan functional impairment self-assessment questionnaire information, physical symptom self-assessment questionnaire information, psychological resilience self-assessment questionnaire information, and depression thinking pattern questionnaire information, and the personal information part includes the user's personal information and inducement information; a plan recommendation unit, used to compare the personal scale evaluation information with a preset business card The system matches the reference scale evaluation information of the business cards in the preset business card library to determine the target business card, and uses the reference intervention plan corresponding to the target business card as the target intervention plan of the user, wherein each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention plan, and the completion degree and intervention effect of each reference intervention plan meet the standards; a psychological intervention unit is used to decompose the target intervention plan into multiple phased tasks, and push the phased tasks to the user in stages, and obtain the user's completion information for the phased tasks, wherein the phased tasks include course learning, after-class exercises, relaxation projects and practical activities.

[0008] In the embodiment of the present application, by using the mental health auxiliary intervention system, cognitive behavioral therapy can be combined with widely used smart terminals. Using smart terminals as the carrier of cognitive behavioral therapy is not only conducive to popularizing the correct understanding of depression to a wider range of people and correcting people's prejudice against depression, but also because of the convenience and confidentiality of this method, it can well protect the privacy of depressed people, better eliminate the resistance of depressed people to psychological intervention, and enable users to discover depression in time, and can also give users timely intervention, thereby greatly increasing the proportion of people who receive timely intervention in the depressed population. And by matching the user's personal scale evaluation information with the reference scale evaluation information of the business card in the preset business card library to determine the target business card, further determine the corresponding reference intervention plan (i.e., the target intervention plan), use the mental health auxiliary intervention system to decompose the target intervention plan into multiple phased tasks (course learning, after-school exercises, relaxation projects and practical activities), and push the phased tasks to the user in stages, which is conducive to effective intervention of the user.

[0009] In combination with the first aspect, in a first possible implementation method of the first aspect, if the historical scale evaluation information of the user does not exist in the mental health auxiliary intervention system, the solution recommendation unit is further used to: screen the business cards in the preset business card library according to the inducement information in the personal scale evaluation information, and obtain a preliminary business card set with mutually matching inducement information, wherein the inducement information includes one or more categories of family problems, emotional problems, work problems and emergencies; determine the module to be intervened with abnormal scale score according to the scale information part in the personal scale evaluation information, wherein the scale score of the module to be intervened is abnormal, indicating that the user has an obstacle in the module and needs intervention; compare the scale score of the module to be intervened with the scale information part in the personal scale evaluation information; The scale scores of the corresponding modules of the business cards in the preliminary business card set are matched to obtain a first matching degree, and a plurality of business cards to be selected whose first matching degree reaches a set matching degree are determined; the difference value between the business card to be selected with the highest first matching degree and the business card to be selected with the second highest first matching degree is determined; if the difference value is less than a first set value, and the number of the business cards to be selected is greater than a second set value, the personal information in the personal scale evaluation information is matched with the personal information of the reference scale evaluation information in each business card to be selected, to obtain a second matching degree, and the business card to be selected with the highest second matching degree is determined to be the target business card; if the difference value is not less than the first set value, or the number of the business cards to be selected is not greater than the second set value, the business card to be selected with the highest first matching degree is determined to be the target business card.

[0010] In this implementation, since there are usually inducements for the generation of depression, and the specific mechanisms of depression caused by different inducements may also be different, it is necessary to adopt intervention plans with different focuses to achieve better intervention effects. Therefore, using the inducement information to screen the business cards in the preset business card library to obtain a preliminary business card set can effectively reduce the amount of data processing during matching and improve the matching efficiency of the system. If the difference value is not less than the first set value, or the number of business cards to be selected is not greater than the second set value, it indicates that the business card to be selected with the highest first matching degree has a higher matching degree, and there are fewer business cards with a first matching degree close to it. At this time, factors such as gender, occupation, and age group do not need to be considered, so the business card to be selected with the highest first matching degree can be determined as the target business card.

[0011] In combination with the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the solution recommendation unit is further used to:

[0012] The first matching degree is calculated in the following manner:

[0013]

[0014] Wherein, P1 represents the first matching degree; N YN represents the score vector of the user's modules to be intervened; M1 represents the score vector of the corresponding module of the business cards whose score differences are within the set range; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

[0015] In this implementation, by determining the first matching degree in this way, the scale score can be used for a round of screening before performing matching operations, thereby reducing the workload while ensuring matching accuracy. In addition, this calculation method of the first matching degree can take into account the score of each evaluation question in the questionnaire of the module to be intervened, thereby facilitating accurate matching.

[0016] In combination with the first possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the solution recommendation unit is further used to:

[0017] The gender, age, and occupation of the personal information in the personal scale assessment information are matched with the personal information of the business card to obtain a second matching degree, specifically in the following manner:

[0018] P2=(w1G+w2W+w3A)*100%,

[0019] Among them, P2 represents the second matching degree; w1+w2+w3=1, respectively representing the corresponding weight values; G represents the gender matching score, which is 0 for different genders and 1 for the same gender; W represents the occupation matching score, which is 0 for different occupations and 1 for the same occupation; A represents the age matching score, which is between 0 and 1 and is determined by the following method:

[0020]

[0021] A max =max(A Y , A M ),

[0022] Among them, A Y Indicates the age of the user in his / her personal information; M Indicates the age of the personal information of the business card to be selected; A max Indicates A Y and A M The larger of .

[0023] In this implementation, the common gender, occupation, age group, etc., the environment they live in, the problems they face, etc. have more commonalities, and the mechanisms that produce depressive emotions may also be closer. By calculating the second matching degree in this way, the influence of factors such as gender, age, and occupation can be better considered to improve matching accuracy.

[0024] In combination with the first possible implementation method of the first aspect, in a fourth possible implementation method of the first aspect, the solution recommendation unit is further used to: determine a set matching degree that maintains a constant matching degree difference with the highest first matching degree; and determine multiple business cards to be selected whose first matching degrees reach the set matching degree.

[0025] In this implementation, such a method can ensure that multiple business cards to be selected can be determined each time as much as possible.

[0026] In combination with the first aspect, in a fifth possible implementation of the first aspect, if the mental health auxiliary intervention system contains historical scale evaluation information of the user, the scale information part in the personal scale evaluation information also includes scale change information, and the scheme recommendation unit is further used to: determine the module to be intervened according to the scale information part in the personal scale evaluation information, wherein the module to be intervened indicates that the scale score corresponding to the user in this module was abnormal in the past or is currently abnormal and intervention is required; for each business card in the preset business card library, match the scale score of the module to be intervened with the scale score of the corresponding module of the business card to obtain a third matching degree, and match the scale change information of the module to be intervened with the scale change information of the corresponding module of the business card to obtain a fourth matching degree; determine the comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card; determine the business card with the highest comprehensive matching degree as the target business card.

[0027] In this implementation, since psychological intervention needs to consolidate the intervention effect, intervention is still required even if the scale score corresponding to a module is normal this time (the scale score corresponding to this module was abnormal last time). Determining the target business card by comprehensive matching can comprehensively consider multiple factors and determine the target business card with the highest matching degree with the user's personal scale evaluation information.

[0028] In combination with the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the solution recommendation unit is further used to:

[0029] The third matching degree is calculated in the following manner:

[0030]

[0031] Wherein, P3 represents the third matching degree; NY N represents the score vector of the user's modules to be intervened; M3 represents the score vector of the corresponding module of the business card; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

[0032] In this implementation, the third matching degree can be accurately calculated through the above method, and the answer information of each evaluation question can be taken into account, which is used as the basis for further matching, which is conducive to improving the accuracy of matching.

[0033] In combination with the fifth possible implementation method of the first aspect, in the seventh possible implementation method of the first aspect, the scale change information is an N-dimensional vector, and the dimension N is consistent with the number N of evaluation questions of the corresponding scale, and the solution recommendation unit is also used to: calculate the difference vector N′ between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card; calculate the modulus length of the difference vector N′; and calculate the fourth matching degree based on a preset conversion relationship and the modulus length.

[0034] In combination with the seventh possible implementation manner of the first aspect, in an eighth possible implementation manner of the first aspect, the solution recommendation unit is further used to:

[0035] The fourth matching degree is calculated in the following manner:

[0036] N′=N1-N2,

[0037]

[0038] Among them, P4 represents the fourth matching degree; N1 represents the scale change information of the module to be intervened; N2 represents the scale change information of the corresponding module of the business card; N′ represents the difference vector between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

[0039] In this implementation, the fourth matching degree can be accurately calculated through the above method, and the change in the answer to each assessment question in the scale change information can be taken into account, which is used as the basis for further matching, which is conducive to improving the accuracy of matching.

[0040] In combination with the fifth possible implementation manner of the first aspect, in a ninth possible implementation manner of the first aspect, the solution recommendation unit is further configured to:

[0041] Determining whether the third matching degree and the fourth matching degree of the same business card reach corresponding set values ​​respectively;

[0042] If the third matching degree and the fourth matching degree of the same business card both reach the corresponding set values, the comprehensive matching degree is calculated using the following formula:

[0043] P=aP3+bP4,

[0044] Wherein, P represents the comprehensive matching degree, P3 and P4 represent the third matching degree and the fourth matching degree respectively, and a+b=1;

[0045] If the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the comprehensive matching degree is calculated using the following formula:

[0046] P=c*(aP3+bP4),

[0047] Among them, c<1.

[0048] In this implementation, the comprehensive matching degree is calculated in this way, which can not only take into account the matching of the scale score and the matching of the scale change information, but also take into account the synergistic effect of the two. When the third matching degree and the fourth matching degree of the same business card both reach the corresponding set value, multiply by the weight 1 (omitted); when the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, multiply by the weight c (c<1), so that the synergistic effect of the third matching degree and the fourth matching degree can be taken into account.

[0049] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A schematic diagram of a mental health auxiliary intervention system provided in an embodiment of the present application.

[0052] Icons: 100-Mental health auxiliary intervention system; 110-Information acquisition unit; 120-Program recommendation unit; 130-Psychological intervention unit. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0054] See also Figure 1 , Figure 1 A schematic diagram of a mental health auxiliary intervention system 100 provided in an embodiment of the present application.

[0055] In this embodiment, the mental health auxiliary intervention system 100 can use a smart terminal (such as a smart phone, a personal computer, a tablet computer, etc.) as a tool for interacting with the user, and partially or completely build the mental health auxiliary intervention system 100 into the smart terminal to realize the functions of the mental health auxiliary intervention system 100. In the case where the mental health auxiliary intervention system 100 is partially built into the smart terminal, it can be: the smart terminal is connected to the server for communication, the part of the mental health auxiliary intervention system 100 involving interaction with the user (such as the part of information collection, the part of content display, the part of content reminder, etc.) is built into the smart terminal, and the part involving data calculation and processing (such as the part of information evaluation, the part of intervention plan determination, etc.) is built into the server, which is not limited here.

[0056] In this embodiment, the psychological health auxiliary intervention system 100 may include an information acquisition unit 110 , a solution recommendation unit 120 and a psychological intervention unit 130 .

[0057] Exemplarily, the information acquisition unit 110 can be used to acquire the user's personal scale evaluation information. The personal scale evaluation information may include a scale information part and a personal information part: the scale information part includes at least one of depression self-assessment questionnaire information, anxiety self-assessment questionnaire information, sleep self-assessment questionnaire information, Sheehan functional impairment self-assessment questionnaire information, physical symptom self-assessment questionnaire information, psychological resilience self-assessment questionnaire information, and depression thinking pattern questionnaire information; and the personal information part includes the user's personal information and inducement information.

[0058] For example, the scale information part includes all scale information in depression self-assessment questionnaire information, anxiety self-assessment questionnaire information, sleep self-assessment questionnaire information, Sheehan functional impairment self-assessment questionnaire information, physical symptom self-assessment questionnaire information, psychological resilience self-assessment questionnaire information, and depression thinking pattern questionnaire information (each questionnaire information includes the user's answer information for each evaluation question of the scale), but it should not be regarded as a limitation of the present application. Here, each questionnaire information includes multiple corresponding evaluation questions.

[0059] Here, personal information may include the user's age, gender and occupation (not limited thereto); and the inducement information indicates the direct cause that causes the user to fall into depression or significantly aggravates depression, and may include one or more of family problems (such as family relationships), emotional problems (such as romantic relationships), work problems (such as job changes, work pressure, etc.) and emergencies (such as accidents, sudden traumatic events, etc.) (in this embodiment, the inducement information includes family problems, emotional problems, work problems and emergencies as an example for explanation).

[0060] In this embodiment, the user can fill in information and perform corresponding scale assessments through the smart terminal, so that the information acquisition unit 110 can obtain the user's personal scale assessment information (including the scale information part and the personal information part), that is, obtain the user's depression self-assessment questionnaire information, anxiety self-assessment questionnaire information, sleep self-assessment questionnaire information, Sheehan functional impairment self-assessment questionnaire information, physical symptom self-assessment questionnaire information, psychological resilience self-assessment questionnaire information, depression thinking pattern questionnaire information, as well as the user's age, gender and occupation, and specific inducement information categories (which can be one of family problems, emotional problems, work problems and emergencies, or can include multiple of them at the same time, which is not limited here).

[0061] In addition, for the case where the user's historical scale evaluation information does not exist in the mental health auxiliary intervention system 100 (i.e., the user is a new user and has not used the psychological intervention service of the mental health auxiliary intervention system 100 through this user account), the personal scale evaluation information includes the above content information (including the scale information part and the personal information part). For the case where the user's historical scale evaluation information exists in the mental health auxiliary intervention system 100 (i.e., the user is an old user and has used the psychological intervention service of the mental health auxiliary intervention system 100 through this user account), the personal scale evaluation information includes the above content information (including the scale information part and the personal information part), and the scale information part also includes scale change information, where the scale change information represents the difference information between the current questionnaire information and the last evaluated questionnaire information.

[0062] For example, the difference between the answer information of each evaluation question in the current depression self-assessment questionnaire information and the depression self-assessment questionnaire information of the user's last evaluation (e.g., two months ago) is represented by the scale change information. Since the evaluation questions in the questionnaire information usually have fixed options and each option is assigned a score, the scale change information can be represented by an N-dimensional vector, where N can be consistent with the number of evaluation questions in the questionnaire information.

[0063] In this embodiment, the mental health auxiliary intervention system 100 may have a preset business card library, which contains multiple business cards, and each business card can be regarded as a label and is unique. In addition, each business card has corresponding reference scale evaluation information and reference intervention plan, and the completion degree and intervention effect of each reference intervention plan meet the standards. The reference scale evaluation information here can be regarded as a user's reference scale information (including a scale information part and a personal information part, some scale information parts include scale change information, and some scale information parts may not contain scale change information, which is not limited here), and the completion degree of each reference intervention plan meets the standards (to ensure that the intervention plan is effective) and the intervention effect meets the standards (to ensure that the effect of the intervention plan meets the standards).

[0064] Exemplarily, the solution recommendation unit 120 can be used to match personal scale evaluation information with reference scale evaluation information of business cards in a preset business card library, determine the target business card, and use the reference intervention solution corresponding to the target business card as the user's target intervention solution.

[0065] Here, the specific method of matching the personal scale evaluation information with the reference scale evaluation information of the business cards in the preset business card library to determine the target business card can be introduced for two situations respectively:

[0066] The first case: if the user's historical scale evaluation information does not exist in the mental health auxiliary intervention system 100, then the user is determined to be a new user. At this time, the solution recommendation unit 120 can screen the business cards in the preset business card library according to the inducement information in the personal scale evaluation information to obtain a preliminary business card set with mutually matching inducement information, wherein the inducement information includes one or more of family problems, emotional problems, work problems and emergencies.

[0067] Since depression usually has triggers, and different triggers may lead to different specific mechanisms of depression, different intervention plans need to be adopted to achieve better intervention effects. Therefore, using trigger information to screen the business cards in the preset business card library to obtain a preliminary business card set can effectively reduce the amount of data processing during matching and improve the matching efficiency of the system.

[0068] Of course, in actual situations, the user's inducement information may include more than one type of problem (family problems, emotional problems, work problems and emergencies), but a combination of multiple types of problems. Therefore, when screening, business cards that partially or completely overlap with the user's inducement information can be determined as business cards in the preliminary business card set, and after the subsequent matching process is completed, business cards with a high degree of overlap are preferentially selected as target business cards. This is not limited here.

[0069] Then, the solution recommendation unit 120 can determine the module to be intervened with abnormal scale score according to the scale information part in the personal scale evaluation information, wherein the abnormal scale score of the module to be intervened indicates that the user has obstacles in the module and needs intervention.

[0070] Here, the method for determining the module to be intervened can be that the solution recommendation unit 120 obtains the score corresponding to each questionnaire information in the scale information part, and determines whether the score is within the set normal score range, so as to judge whether the user has an abnormal scale score in this module (each questionnaire information corresponds to a module), so as to determine whether this module is a module to be intervened.

[0071] Of course, the number of the modules to be intervened determined here can be 0 (no module to be intervened), 1 (one module to be intervened), or 2 to 7 (multiple modules to be intervened).

[0072] For the convenience of description, this embodiment takes the case where there is a module to be intervened as an example to specifically introduce the method of determining the target business card.

[0073] In this embodiment, the solution recommendation unit 120 can match the scale score of the module to be intervened with the scale score of the corresponding module of the business card in the preliminary business card set to obtain a first matching degree, and determine multiple business cards to be selected whose first matching degree reaches the set matching degree.

[0074] Exemplarily, the solution recommendation unit 120 may match the scale score of the module to be intervened with the scale score of the corresponding module of the business cards in the preliminary business card set, determine the business cards whose score differences are within a set range (for example, within 5 points, within 8 points), and then match the score vector of the module to be intervened (an N-dimensional vector, N is consistent with the number of evaluation questions in the questionnaire of this module, and each element of the N-dimensional vector represents the score of an evaluation question) with the score vector of this module in the business cards whose score differences are within the set range (for example, subtract the two and then calculate the modulus, the smaller the modulus length, the higher the matching degree, and the conversion can be performed through the set conversion relationship), thereby obtaining the first matching degree between the scale score of the module to be intervened and the scale scores of the corresponding modules of different business cards (each business card whose score difference is within the set range).

[0075] Specifically, the first matching degree may be calculated in the following manner:

[0076]

[0077] Wherein, P1 represents the first matching degree; N Y N represents the score vector of the user's modules to be intervened; M1 represents the score vector of the corresponding module of the business cards whose score differences are within the set range; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and is also the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It represents the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and the score assigned to each evaluation question in the questionnaire of the module to be intervened is the same (the maximum option score and the minimum option score are the same respectively).

[0078] By determining the first matching degree in this way, the scale score can be used for a round of screening before performing matching operations, thereby reducing the workload while ensuring matching accuracy. In addition, this calculation method of the first matching degree can take into account the score of each evaluation question in the questionnaire of the module to be intervened, thereby facilitating accurate matching.

[0079] Then, the solution recommendation unit 120 may determine a plurality of candidate business cards whose first matching degree reaches a set matching degree. Here, the set matching degree may be pre-set or updated in real time.

[0080] In order to ensure that at least one business card to be selected (usually multiple business cards to be selected) can be determined each time, the solution recommendation unit 120 can determine a set matching degree that maintains a constant matching degree difference with the highest first matching degree. For example, the highest matching degree is 90%, and the constant matching degree difference is set to 5%, then the set matching degree is 85%. Then, the solution recommendation unit 120 can determine multiple business cards to be selected whose first matching degrees reach the set matching degree.

[0081] Thus, the solution recommendation unit 120 can determine a plurality of candidate business cards whose first matching degree reaches the set matching degree. Afterwards, the solution recommendation unit 120 can further determine the difference value between the candidate business card with the highest first matching degree and the candidate business card with the second highest first matching degree.

[0082] If the difference between the candidate business card with the highest first matching degree and the candidate business card with the second highest first matching degree is less than a first set value (for example, 1%), and the number of candidate business cards is greater than a second set value (for example, 10, 20, etc.), then it indicates that the difference between the preliminarily determined candidate business cards is small and the number is large, and further matching can be performed to obtain the business card closest to the user's personal scale evaluation information as the target business card.

[0083] Exemplarily, the solution recommendation unit 120 can match the personal information in the user's personal scale evaluation information with the personal information in the reference scale evaluation information in each candidate business card to obtain a second matching degree, and determine the candidate business card with the highest second matching degree as the target business card. For example, the gender, age, and occupation in the personal information are used as three indicators to match the personal information of the business card to obtain the second matching degree, specifically in the following manner:

[0084] P2=(w1G+w2W+w3A)*100%, (2)

[0085] Wherein, P2 represents the second matching degree; w1+w2+w3=1, respectively representing the corresponding weight values; G represents the gender matching score, which is 0 (different genders) or 1 (same genders); W represents the occupation matching score, which is 0 (different occupations) or 1 (same occupations); A represents the age matching score, which is between 0 and 1, and the value is determined by the following method:

[0086]

[0087] A max =max(A Y , A M ), (4)

[0088] Among them, A Y Indicates the age of the user in his / her personal information; M Indicates the age of the personal information of the business card to be selected; A max Indicates A Y and A M The larger of .

[0089] After obtaining the second matching degree, the solution recommendation unit 120 may determine the candidate business card with the highest second matching degree as the target business card.

[0090] The common gender, occupation, age group, etc., the environment they live in, the problems they face, etc., and the mechanisms that produce depression may also be closer. By calculating the second matching degree in this way, we can better consider the influence of factors such as gender, age, and occupation, and improve matching accuracy.

[0091] If the difference value is not less than the first set value, or the number of business cards to be selected is not greater than the second set value, it indicates that the business card to be selected with the highest first matching degree has a higher matching degree, and there are fewer business cards with a first matching degree close to it. At this time, factors such as gender, occupation, and age group do not need to be considered. The solution recommendation unit 120 can determine that the business card to be selected with the highest first matching degree is the target business card.

[0092] The second case: if the user's historical scale evaluation information exists in the psychological health auxiliary intervention system 100, then the user is determined to be an old user. At this time, the scale information part of the user's personal scale evaluation information also includes scale change information.

[0093] At this time, the solution recommendation unit 120 can determine the module to be intervened according to the scale information part in the personal scale evaluation information, wherein the module to be intervened indicates that the scale score corresponding to this module of the user was abnormal in the past or is currently abnormal, and intervention is required. Since the intervention effect needs to be consolidated, intervention is required even if the scale score corresponding to this module is normal this time (the scale score corresponding to this module was abnormal last time). Therefore, compared with the method of determining the module to be intervened in the first case, the method of determining the module to be intervened in the second case also needs to examine the module whose scale score was abnormal last time.

[0094] After determining the module to be intervened, for each business card in the preset business card library (screening may be performed first to exclude business cards whose scale information part of the reference scale evaluation information does not contain scale change information), the solution recommendation unit 120 may match the scale score of the module to be intervened with the scale score of the corresponding module of the business card to obtain a third matching degree. Also, the scale change information of the module to be intervened is matched with the scale change information of the corresponding module of the business card to obtain a fourth matching degree.

[0095] Exemplarily, the solution recommendation unit 120 may calculate the third matching degree in the following manner:

[0096]

[0097] Wherein, P3 represents the third matching degree; N Y N represents the score vector of the user's modules to be intervened; M3 The score vector representing the corresponding module of the business card.

[0098] Exemplarily, the solution recommendation unit 120 can calculate the difference vector N′ between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card; then calculate the module length of the difference vector N′, and then calculate the fourth matching degree based on the preset conversion relationship and module length.

[0099] Specifically, the solution recommendation unit 120 may calculate the fourth matching degree in the following manner:

[0100] N′=N1-N2, (6)

[0101]

[0102] Among them, P4 represents the fourth matching degree; N1 represents the scale change information of the module to be intervened; N2 represents the scale change information of the corresponding module of the business card; N′ represents the difference vector between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card.

[0103] The third and fourth matching degrees can be accurately calculated in the above manner, and the answer information of each evaluation question can be taken into account, and the change of the answer of each evaluation question in the scale change information can also be taken into account, which can be used as the basis for further matching, which is conducive to improving the accuracy of matching.

[0104] After calculating the third matching degree and the fourth matching degree, the solution recommendation unit 120 may determine the comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card.

[0105] If the third matching degree and the fourth matching degree of the same business card both reach the corresponding set values, the solution recommendation unit 120 may calculate the comprehensive matching degree using the following formula:

[0106] P=aP3+bP4, (8)

[0107] Wherein, P represents the comprehensive matching degree, P3 and P4 represent the third matching degree and the fourth matching degree respectively, and a+b=1.

[0108] If the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the solution recommendation unit 120 can calculate the comprehensive matching degree using the following formula:

[0109] P=c*(aP3+bP4), (9)

[0110] Among them, c<1.

[0111] By calculating the comprehensive matching degree in this way, not only the matching of the scale score and the matching of the scale change information can be considered, but also the synergistic effect of the two can be considered. When the third matching degree and the fourth matching degree of the same business card both reach the corresponding set values, they are multiplied by a weight of 1 (omitted in Formula 8); when the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, they are multiplied by a weight c (c<1), so that the synergistic effect of the third matching degree and the fourth matching degree can be considered.

[0112] Then, the solution recommendation unit 120 can determine the business card with the highest comprehensive matching degree as the target business card. The target business card thus obtained can comprehensively consider multiple factors to determine the target business card with the highest matching degree with the user's personal scale evaluation information.

[0113] It should be noted that the description of the matching of the target business card by the solution recommendation unit 120 in this embodiment is based on a single module to be intervened as an example, but this should not be regarded as a limitation of the present application. In the case of multiple modules to be intervened, the multiple modules to be intervened can be weighted, and the corresponding matching degrees can be calculated and then weighted calculation can be performed to obtain the corresponding matching degrees, which will not be described in detail here.

[0114] After matching the personal scale evaluation information with the reference scale evaluation information of the business cards in the preset business card library and determining the target business card, the solution recommendation unit 120 can use the reference intervention solution corresponding to the target business card as the user's target intervention solution. Each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention solution, and each reference intervention solution has a completion degree that meets the standard and an intervention effect that meets the standard.

[0115] In this embodiment, the reference intervention program is used as the intervention program corresponding to the business card, and includes multiple corresponding phased tasks, such as course learning, after-class exercises, relaxation projects, and practical activities. The course learning (phased tasks) here can be a unified course learning task, or it can be a course learning task corresponding to the user's intervention module. For example, if there is an abnormal situation in the depressive thinking pattern, the course learning task in the reference intervention program (i.e., the target intervention program) corresponding to the target business card can be a course learning video about the depressive thinking pattern. Correspondingly, after-class exercises are associated with course learning. Relaxation projects can be short essay appreciation, light music, abdominal breathing, progressive muscle relaxation, and other projects that help users relax. Practical activities can be ways to help users participate in activities in life, establish connections with others, and gain a sense of participation and identity, which helps to improve the user's emotional experience.

[0116] It should be noted that this program (mental health auxiliary intervention system 100) is a program designed based on cognitive behavioral psychotherapy as a whole, and the course learning is also selected from relevant course learning videos (such as courses on the nature and sources of depression, courses on detecting depressive thoughts by recording activities, courses on avoiding thinking traps, courses on adjusting thinking errors, courses on adjusting attribution patterns, courses on how to objectively view yourself and others, etc.).

[0117] After obtaining the target intervention plan, the psychological intervention unit 130 can decompose the target intervention plan into multiple phased tasks, push the phased tasks to the user in stages, and obtain the user's completion information for the phased tasks, where the phased tasks include course learning, after-class exercises, relaxation projects and practical activities.

[0118] Since the reference intervention plan itself can be understood as an intervention plan with good intervention effect from other users, it is itself constructed by multiple types of phased tasks (and also includes the execution status of the reference intervention plan by the other user: such as completion information, intervention schedule, etc.). Therefore, the psychological intervention unit 130 can break down the target intervention plan into multiple types of phased tasks: course learning, after-class exercises, relaxation projects and practical activities.

[0119] Then, for each type of phased task, the psychological intervention unit 130 can obtain the intervention frequency of this type of phased task (for example, twice a day, once a day, twice a week, once a week, etc.), and based on this intervention frequency (which can be combined with the user's work and rest schedule), generate a task schedule for this type of phased task (try not to affect or less affect the user's normal work and rest time), and further push this type of phased task to the user based on the task schedule.

[0120] For each phased task, the psychological intervention unit 130 may also obtain the user's completion information for the phased task.

[0121] Of course, the psychological health auxiliary intervention system 100 may also include an effect evaluation unit and a business card update unit, and effect feedback information may be obtained after the psychological intervention unit 130 continuously intervenes in the user based on the target intervention plan for a period of time. The effect feedback information here may be based on the update of the scale information part in the user's personal scale evaluation information. For example, after a period of continuous intervention, a questionnaire evaluation may be performed on the user's module to be intervened, and new questionnaire information may be obtained, and the new questionnaire information of the module to be intervened may be compared with the last questionnaire information to evaluate the improvement effect of the user under the intervention of the target intervention plan.

[0122] If the intervention effect is significant (i.e., the intervention effect meets the standard), and the completion of the target intervention plan (determined by the completion information of the phased tasks) meets the standard, it means that the plan is effective and worth promoting. Then, the business card update unit can generate a business card based on the target intervention plan and the user's personal scale evaluation information and add it to the preset business card library to update the preset business card library. This not only enriches the preset business card library, but also, since these reference intervention plans are derived from actual user cases and have been tested in practice, they can exert intervention effects relatively stably, which is conducive to timely psychological intervention for depressed people and is conducive to the recovery of depressed patients.

[0123] In summary, the embodiment of the present application provides a mental health auxiliary intervention system 100. By using the mental health auxiliary intervention system 100, cognitive behavioral therapy can be combined with widely used smart terminals. Using smart terminals as carriers of cognitive behavioral therapy is not only conducive to popularizing the correct understanding of depression to a wider range of people and correcting people's prejudice against depression, but also due to the convenience and confidentiality of this method, it can well protect the privacy of depressed people, better eliminate the resistance of depressed people to psychological intervention, and enable users to discover depression in time, and can also give users timely intervention, thereby greatly increasing the proportion of people who receive timely intervention in the depressed population. And by matching the user's personal scale evaluation information with the reference scale evaluation information of the business card in the preset business card library to determine the target business card, further determine the corresponding reference intervention plan (i.e., the target intervention plan), and use the mental health auxiliary intervention system 100 to decompose the target intervention plan into multiple phased tasks (course learning, after-school exercises, relaxation projects and practical activities), and push the phased tasks to the user in stages, which is conducive to effective intervention of the user.

[0124] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0125] The above description is only an embodiment of the present application and is not intended to limit the protection scope of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A mental health auxiliary intervention system, characterized in that: include: an information acquisition unit, configured to acquire personal scale evaluation information of a user, wherein the personal scale evaluation information includes a scale information part and a personal information part, the scale information part includes at least one of depression self-assessment questionnaire information, anxiety self-assessment questionnaire information, sleep self-assessment questionnaire information, Sheehan functional impairment self-assessment questionnaire information, somatic symptom self-assessment questionnaire information, psychological resilience self-assessment questionnaire information, and depression thinking pattern questionnaire information, and the personal information part includes the user's personal information and inducement information; A solution recommendation unit is used to match the personal scale evaluation information with the reference scale evaluation information of the business cards in the preset business card library, determine the target business card, and use the reference intervention solution corresponding to the target business card as the target intervention solution of the user, wherein each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention solution, and the completion degree and intervention effect of each reference intervention solution meet the standards; A psychological intervention unit, used to decompose the target intervention program into multiple phased tasks, push the phased tasks to the user in stages, and obtain the user's completion information on the phased tasks, wherein the phased tasks include course learning, after-class exercises, relaxation projects and practical activities; If the historical scale evaluation information of the user does not exist in the mental health auxiliary intervention system, the solution recommendation unit is further used to: According to the inducement information in the personal scale evaluation information, the business cards in the preset business card library are screened to obtain a preliminary set of business cards whose inducement information matches each other, wherein the inducement information includes one or more of family problems, emotional problems, work problems and emergencies; Determine, according to the scale information part of the personal scale evaluation information, a module to be intervened with an abnormal scale score, wherein the abnormal scale score of the module to be intervened indicates that the user has a disorder in the module and needs intervention; Matching the scale score of the module to be intervened with the scale score of the corresponding module of the business card in the preliminary business card set to obtain a first matching degree, and determining a plurality of business cards to be selected whose first matching degree reaches a set matching degree; Determine the difference between the candidate business card with the highest first matching degree and the candidate business card with the second highest first matching degree; If the difference value is less than the first set value, and the number of the business cards to be selected is greater than the second set value, the personal information in the personal scale evaluation information is matched with the personal information in the reference scale evaluation information in each business card to be selected, to obtain a second matching degree, and the business card to be selected with the highest second matching degree is determined as the target business card; If the difference value is not less than the first set value, or the number of the candidate business cards is not greater than the second set value, determining the candidate business card with the highest first matching degree as the target business card; The scheme recommendation unit is further used for: The first matching degree is calculated in the following manner: Wherein, P1 represents the first matching degree; N Y N represents the score vector of the user's modules to be intervened; M1 represents the score vector of the corresponding module of the business cards whose score differences are within the set range; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

2. The mental health auxiliary intervention system according to claim 1, characterized in that: The scheme recommendation unit is further used for: The gender, age, and occupation of the personal information in the personal scale assessment information are matched with the personal information of the business card to obtain a second matching degree, specifically in the following manner: P2=(w1G+w2W+w3A)*100%, Among them, P2 represents the second matching degree; w1+w2+w3=1, respectively representing the corresponding weight values; G represents the gender matching score, which is 0 for different genders and 1 for the same gender; W represents the occupation matching score, which is 0 for different occupations and 1 for the same occupation; A represents the age matching score, which is between 0 and 1 and is determined by the following method: A max =max(A Y ,A M ), Among them, A Y Indicates the age of the user in his / her personal information; M Indicates the age of the personal information of the business card to be selected; A max Indicates A Y and A M The larger of .

3. The mental health auxiliary intervention system according to claim 1, characterized in that: The scheme recommendation unit is further used for: Determine a set matching degree that maintains a constant matching degree difference with the highest first matching degree; A plurality of business cards to be selected whose first matching degree reaches a set matching degree are determined.

4. The mental health auxiliary intervention system according to claim 1, characterized in that: If the mental health auxiliary intervention system contains historical scale evaluation information of the user, the scale information part of the personal scale evaluation information also includes scale change information, and the solution recommendation unit is further used to: Determine a module to be intervened according to the scale information part in the personal scale evaluation information, wherein the module to be intervened indicates that the scale score corresponding to the user in this module was abnormal in the past or is currently abnormal and intervention is required; For each business card in the preset business card library, the scale score of the module to be intervened is matched with the scale score of the corresponding module of the business card to obtain a third matching degree, and the scale change information of the module to be intervened is matched with the scale change information of the corresponding module of the business card to obtain a fourth matching degree; Determining a comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card; The business card with the highest comprehensive matching degree is determined as the target business card.

5. The mental health auxiliary intervention system according to claim 4, characterized in that: The scheme recommendation unit is further used for: The third matching degree is calculated in the following manner: Wherein, P3 represents the third matching degree; N Y N represents the score vector of the user's modules to be intervened; M3 represents the score vector of the corresponding module of the business card; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

6. The mental health auxiliary intervention system according to claim 4, characterized in that: The scale change information is an N-dimensional vector, and the dimension N is consistent with the number N of evaluation questions of the corresponding scale. The solution recommendation unit is further used to: Calculate the difference vector N′ between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card; Calculating the modulus of the difference vector N′; The fourth matching degree is calculated according to the preset conversion relationship and the module length.

7. The mental health auxiliary intervention system according to claim 6, characterized in that: The scheme recommendation unit is further used for: The fourth matching degree is calculated in the following manner: N′=N1-N2, Among them, P4 represents the fourth matching degree; N1 represents the scale change information of the module to be intervened; N2 represents the scale change information of the corresponding module of the business card; N′ represents the difference vector between the scale change information N1 of the module to be intervened and the scale change information N2 of the corresponding module of the business card; N represents the number of evaluation questions in the questionnaire of the module to be intervened, and also represents the dimension of the score vector; F max Indicates the maximum option score of the evaluation question in the questionnaire of the intervention module, F min It indicates the minimum option score of the evaluation questions in the questionnaire of the module to be intervened, and each evaluation question in the questionnaire of the module to be intervened has the same score.

8. The mental health auxiliary intervention system according to claim 4, characterized in that: The scheme recommendation unit is further used for: Determining whether the third matching degree and the fourth matching degree of the same business card reach corresponding set values ​​respectively; If the third matching degree and the fourth matching degree of the same business card both reach the corresponding set values, the comprehensive matching degree is calculated using the following formula: P=aP3+bP4, Wherein, P represents the comprehensive matching degree, P3 and P4 represent the third matching degree and the fourth matching degree respectively, and a+b=1; If the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the comprehensive matching degree is calculated using the following formula: P=c*(aP3+bP4), Among them, c<1.

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