Method and device for determining rehabilitation scheme of children with post-traumatic stress symptoms

Abstract

The invention provides a method and a device for determining a rehabilitation scheme for children with post-traumatic stress symptoms. The method comprises the following steps: acquiring children questionnaire survey data and a target children rehabilitation training course; preprocessing the questionnaire survey data to obtain preprocessed data; performing risk assessment according to the preprocessed data to obtain a risk assessment result; determining a first child rehabilitation scheme according to the risk assessment result; according to rehabilitation training data obtained by the first child rehabilitation scheme, adjusting the first child rehabilitation scheme to obtain a second child rehabilitation scheme; and sending the second child rehabilitation scheme to a user terminal. The corresponding rehabilitation scheme is determined according to the actual situation of the child user, the rehabilitation scheme is adjusted in real time according to the rehabilitation training data in the rehabilitation training process so as to adapt to the actual situation of the child user, and the optimized rehabilitation scheme can be intelligently given.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of rehabilitation treatment, and further relates to a method and device for determining a child rehabilitation scheme for post-traumatic stress symptoms. BACKGROUND

[0002] Child and adolescent mental health problems have become a global public health problem, and effective psychological intervention services are an important way to solve the problem. However, the traditional offline service supply mode seriously restricts the accessibility and efficiency of mental health services. Traumatic event experience is one of the important risk factors for child and adolescent mental health. Traumatic events can affect the development of children's and adolescents' brains, cognition, social function and emotion, and increase the risk of mental illness (including post-traumatic stress disorder, depression, anxiety and substance use disorder) by 2.8 times, causing serious public health burden to individuals and society. However, due to the limited number of mental health personnel, the high degree of stigma of mental health services and other problems, traditional mental health services cannot meet the needs of children and adolescents, the rehabilitation training effect is poor, there is a lack of effective child rehabilitation scheme, and an intervention scheme that meets the actual needs cannot be given. SUMMARY

[0003] The technical problem to be solved by the application is to provide a method and device for determining a child rehabilitation scheme for post-traumatic stress symptoms, so as to intelligently recommend an optimized child rehabilitation scheme.

[0004] To solve the above technical problems, the technical scheme of the application is as follows: In a first aspect, the application provides a method for determining a child rehabilitation scheme for post-traumatic stress symptoms, comprising: obtaining child questionnaire survey data and target child rehabilitation training courses; preprocessing the questionnaire survey data to obtain preprocessed data; risk assessment according to the preprocessed data, to obtain a risk assessment result; the risk assessment result includes the level of stress symptoms; determining a first child rehabilitation scheme according to the risk assessment result; the first child rehabilitation scheme includes at least one child rehabilitation training course; adjusting the first child rehabilitation scheme according to rehabilitation training data obtained from the first child rehabilitation scheme to obtain a second child rehabilitation scheme; the rehabilitation training data is obtained from feedback data of a user executing the first child rehabilitation scheme; sending the second child rehabilitation scheme to a user terminal.

[0005] Optionally, obtaining child questionnaire survey data and target child rehabilitation training courses comprises: obtaining child questionnaire data; the child questionnaire data comprises symptom data of post-traumatic stress symptoms and self-assessment scale data; obtaining a plurality of initial child rehabilitation training courses; the child rehabilitation training courses comprise psychological education courses, relaxation courses, emotion regulation courses, at least one type of cognitive processing courses, safety support courses, game courses, animation courses, audio courses, case analysis courses, role-playing courses, reward courses, practical task courses; determining a target child rehabilitation training course according to the plurality of initial child rehabilitation training courses.

[0006] Optionally, determining the target child rehabilitation training course according to the plurality of initial child rehabilitation training courses comprises: obtaining a preset unlocking condition; optimizing the plurality of initial child rehabilitation training courses according to the preset unlocking condition to obtain the target child rehabilitation training course; the target child rehabilitation training course comprises a course system of six levels, and each course system corresponds to different learning goals and difficulties.

[0007] Optionally, performing risk assessment according to the preprocessed data to obtain a risk assessment result comprises: adopting or calculating a stress level score S; comparing the stress level score S with an emergency risk clinical threshold to obtain the risk assessment result as mild risk or moderate risk or severe risk; wherein S is the stress level score; n is the total number of questions in the preprocessed data; is the standardized score of the i-th question in the preprocessed data; is a preset dynamic weight of the i-th question in the preprocessed data.

[0008] Optionally, determining a first child rehabilitation scheme according to the risk assessment result comprises: determining a plurality of preset optimization targets according to the risk assessment result; the plurality of preset optimization targets comprise a first preset optimization target, a second preset optimization target and a third preset optimization target; obtaining N course combinations; each course combination comprises at least one child rehabilitation training course; N is a positive integer; performing encoding processing on the N course combinations to obtain an initial population comprising N chromosomes; wherein one chromosome represents one child rehabilitation training course combination, and the population represents a collection of all chromosomes; determining fitness values of chromosomes according to the initial population, the plurality of preset optimization targets and ; wherein, a fitness value of an i th chromosome, a weight of a first preset optimization target, a first preset optimization target value corresponding to the i th chromosome, a weight of a second preset optimization target, a second preset optimization target value corresponding to the i th chromosome, a weight of a third preset optimization target, a third preset optimization target value corresponding to the i th chromosome; selecting, crossing and mutating according to the fitness value of the chromosome and the initial population to determine a new population; determining a first child rehabilitation scheme according to the new population and a preset iteration number.

[0009] Optionally, adjusting the first child rehabilitation scheme according to rehabilitation training data obtained by the first child rehabilitation scheme to obtain a second child rehabilitation scheme, including: performing rehabilitation training effect evaluation according to the rehabilitation training data obtained by the first child rehabilitation scheme to obtain a rehabilitation training effect evaluation result; determining comparison data according to the rehabilitation training effect evaluation result and the risk evaluation result; adjusting the first child rehabilitation scheme according to the comparison data to obtain a second child rehabilitation scheme.

[0010] Optionally, adjusting the first child rehabilitation scheme according to the comparison data to obtain a second child rehabilitation scheme, including: adjusting the weight of a plurality of preset optimization targets according to the comparison data to obtain an adjusted weight; adjusting the first child rehabilitation scheme according to the adjusted weight to obtain a second child rehabilitation scheme.

[0011] In a second aspect, the application provides a device for determining a child rehabilitation scheme for post-traumatic stress symptoms, including: an acquisition module configured to acquire child questionnaire survey data and a target child rehabilitation training course; The processing module is configured to preprocess the questionnaire data to obtain preprocessed data, perform risk assessment based on the preprocessed data to obtain a risk assessment result, wherein the risk assessment result comprises a stress symptom level, determine a first child rehabilitation scheme based on the risk assessment result, wherein the first child rehabilitation scheme comprises at least one child rehabilitation training course, adjust the first child rehabilitation scheme based on rehabilitation training data obtained based on the first child rehabilitation scheme to obtain a second child rehabilitation scheme, wherein the rehabilitation training data is obtained based on feedback data of a user performing the first child rehabilitation scheme, and send the second child rehabilitation scheme to a user terminal.

[0012] In a third aspect, the present application provides a computing device, comprising: a processor, and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method according to the first aspect.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, wherein the instructions, when executed on a computer, cause the computer to perform the method according to the first aspect.

[0014] The above-mentioned scheme of the present application has at least the following beneficial effects: The above-mentioned scheme of the present application can determine the corresponding rehabilitation scheme according to the actual situation of the child user, and adjust the rehabilitation scheme in real time according to the rehabilitation training data in the rehabilitation training process to adapt to the actual situation of the child user, can intelligently give an optimized rehabilitation scheme, and improve the dynamic adaptability of the rehabilitation scheme. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flowchart of a method for determining a child rehabilitation scheme for post-traumatic stress symptoms in an embodiment of the present application; Figure 2 is a structural diagram of a device for determining a child rehabilitation scheme for post-traumatic stress symptoms in an embodiment of the present application. DETAILED DESCRIPTION

[0016] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.

[0017] As shown in Figure 1 An embodiment of the present application proposes a method for determining a child rehabilitation program for post-traumatic stress symptoms, comprising the following steps: Step 101, obtaining child questionnaire data and target child rehabilitation training courses; Step 102, preprocessing the questionnaire data to obtain preprocessed data; Step 103, risk assessment according to the preprocessed data, obtaining a risk assessment result; the risk assessment result includes the level of stress symptoms; Step 104, determining a first child rehabilitation program according to the risk assessment result; the first child rehabilitation program includes at least one child rehabilitation training course; Step 105, adjusting the first child rehabilitation program according to the rehabilitation training data obtained from the first child rehabilitation program to obtain a second child rehabilitation program; the rehabilitation training data is obtained from the feedback data of the user executing the first child rehabilitation program; Step 106, sending the second child rehabilitation program to the user terminal.

[0018] The method for determining a child rehabilitation program for post-traumatic stress symptoms according to the embodiment of the present application, by obtaining child questionnaire data and target child rehabilitation training courses, then preprocessing the questionnaire data to obtain preprocessed data, and performing risk assessment according to the preprocessed data to obtain a risk assessment result, determining a first child rehabilitation program according to the risk assessment result, adjusting the first child rehabilitation program according to the rehabilitation training data obtained from the first child rehabilitation program to obtain a second child rehabilitation program, and sending the second child rehabilitation program to the user terminal, determines the corresponding rehabilitation program according to the actual situation of the child user, and adjusts the rehabilitation program in real time according to the rehabilitation training data during the rehabilitation training process to adapt to the actual situation of the child user, can intelligently give an optimized rehabilitation program, and improves the dynamic adaptability of the rehabilitation program.

[0019] In an optional embodiment of the present application, step 101 comprises: Step 1011, obtaining child questionnaire data; the child questionnaire data includes symptom data of post-traumatic stress symptoms and self-assessment scale data; Specifically, the questionnaire data is questionnaire data containing post-traumatic stress symptom related symptoms and self-assessment scales, and the questionnaire data covers core symptoms of post-traumatic stress symptoms, such as flashbacks, nightmares, avoidance behaviors, emotional numbness, and hyperarousal. The questionnaire can adopt a Likert scale form, and the user scores according to the impact of the symptoms on himself, such as "not at all", "a little", "moderate", "most", "extreme", etc. According to the questionnaire filled in by the child user, the child questionnaire data is obtained.

[0020] In step 1012, a plurality of initial child rehabilitation training courses are obtained; the child rehabilitation training courses include a psychological education course, a relaxation course, an emotion regulation course, at least one type of cognitive processing course, a safety support course, a game course, an animation course, an audio course, a case analysis course, a role-playing course, a reward course, and a practical task course. Specifically, the initial child rehabilitation training courses can be set according to specific conditions. The psychological education course is to introduce trauma psychological education knowledge, normalize trauma response, and strengthen correct understanding of the event. The relaxation course is to teach children deep breathing relaxation, progressive muscle relaxation, meditation relaxation, and other relaxation skills. The emotion regulation course is to guide the recognition of basic emotions, use emotion temperature to record emotion changes, and actively use psychological suggestion to promote normal expression and control of children's emotions. The first cognitive processing course is to understand the relationship between cognition, emotion, and behavior, and help children understand the negative emotions caused by unreasonable cognition on emotion and behavior. The second cognitive processing course is to identify negative thinking, master the skill of replacing unreasonable thinking, and get rid of the disturbance of thinking errors on emotion and behavior. The safety support course is to propose and solve four types of difficulties that children are reluctant to seek help, build a safety ring for children, and teach children how to seek help. Different courses have different effects on the emotion and behavior regulation of children. Obtaining a plurality of initial child rehabilitation training courses facilitates subsequent combination of the courses and improves the effect of child rehabilitation training.

[0021] In step 1013, a target child rehabilitation training course is determined according to the plurality of initial child rehabilitation training courses.

[0022] In an optional embodiment of the present application, step 1013 includes: In step 10131, a preset unlocking condition is obtained. Specifically, the preset unlocking condition can be that the progress of completing the course reaches the expected progress, etc.

[0023] In step 10132, the plurality of initial child rehabilitation training courses are individually optimized according to the preset unlocking condition, and a target child rehabilitation training course is obtained; the target child rehabilitation training course includes a course system of six levels, and each course system corresponds to different learning goals and difficulties.

[0024] Specifically, the target child rehabilitation training course is divided into six levels according to the difficulty, each level corresponds to different learning goals, and the personalized learning goals and difficulty adjustment are dynamically generated according to the learning progress and performance of the child user and the preset unlocking condition, the plurality of initial child rehabilitation training courses are personalized optimized, and the most suitable learning experience is ensured for each user, which helps to improve the rehabilitation training effect.

[0025] Here, the immersive story-based introduction experience can be created by using dynamic loading combined with animation and audio plug-ins in the introduction part of the course chapters in the target child rehabilitation training course. The introduction part of each chapter can naturally introduce psychological topics and trigger emotional resonance of the user, helping the user to quickly enter the learning state.

[0026] In an optional embodiment, step 101 can further include: Step 1014, obtaining behavior data of the child user; the behavior data includes daily behavior data, physiological data and social activity data.

[0027] The daily behavior data can include sleep quality data, the physiological data can include heart rate data and blood pressure data, and the social activity data can include social interaction data of the user on various social media and online platforms. In subsequent processing, the questionnaire data and daily behavior data are preprocessed together as the to-be-processed data to improve the accuracy and objectivity of the risk assessment. Poor sleep quality, heart rate data not within the preset heart rate value range, blood pressure data not within the preset blood pressure value range, and less social interaction will have an important influence on the risk assessment result.

[0028] In an optional embodiment of the present application, step 102 includes: By preprocessing the questionnaire data, the preprocessed data is obtained; wherein, is the score of the i-th question in the preprocessed data, k is the highest score of the scale, is the score of the i-th question in the questionnaire data, is the mean value of the data column in the questionnaire data.

[0029] Specifically, the scale used in the questionnaire is a 1-5 Likert scale, the highest score of the scale is k (such as k=5 in a 5-point scale), and which questions in the questionnaire are marked as reverse scoring questions. When preprocessing the obtained questionnaire data, if the question is a reverse scoring question, the score of the question is calculated according to The question is preprocessed; if a question has a missing answer (i.e., the user did not answer the question), the average of all questions can be used as the value for that question during preprocessing; other questions can use their original values. Here, the preprocessed data includes the scores of each question after preprocessing all question scores in the questionnaire data. Table 1 shows the questionnaire data in a specific embodiment: Table 1 Questionnaire Survey Data

[0030] When preprocessing question Q1, since question Q1 is positive and not missing, the preprocessed score for question Q1 is the original score of 4; question Q2 is negative, so according to... The preprocessed score for question Q2 is 4; the original score for question Q3 is missing. ,get If the score is approximately 3, then the preprocessed score for question Q3 is 3; question Q4 is the reverse, so according to... The preprocessed score for question Q2 is 1. Therefore, the preprocessed data in this embodiment includes: a score of 4 for question Q1, a score of 4 for question Q2, a score of 3 for question Q3, and a score of 1 for question Q4.

[0031] In an optional embodiment of the present invention, step 103 includes: Step 1031, based on the preprocessed data, use... or Calculate the stress level score S; Step 1032: Compare the stress level score S with the clinical threshold of emergency risk to obtain the risk assessment result as mild risk, moderate risk, or severe risk. Where S is the stress level score; n is the total number of problems in the preprocessed data; The standardized score for the i-th question in the preprocessed data; The preset dynamic weights for the i-th problem in the preprocessed data.

[0032] Specifically, the algorithm can be selected based on the specific situation or the completeness of the questionnaire, choosing to use the product of the question score and the corresponding weight of the question (e.g., Determine the stress level score, or based on the average of all items ( ) determining the stress level score, calculating the stress level score according to the scores of each question in the pre-processing data, and then determining the stress level corresponding to the stress level score in the emergency risk clinical threshold as the risk assessment result, such as the stress level score being 1, the stress level corresponding to the stress level score in the emergency risk clinical threshold being lighter (or low risk); the stress level score being 8, the stress level corresponding to the stress level score in the emergency risk clinical threshold being heavier (or high risk), and so on.

[0033] Here, The value is determined by any of the following ways: Clinical criteria: based on the severity grading of stress symptoms in clinical classification diagnosis guidelines such as DSM-5 or ICD-11; Expert evaluation: quantifying the contribution of each symptom to post-traumatic stress symptoms through expert questionnaire (AHP hierarchical analysis method); Data-driven: training a regression model according to historical rehabilitation data to automatically generate weight coefficients.

[0034] In an optional embodiment, step 1032 can also be risk assessment according to the stress level score, the emergency risk clinical threshold, and the behavior data, to obtain the risk assessment result.

[0035] Specifically, first risk assessment is performed according to the stress level score and the emergency risk clinical threshold, to obtain a first risk assessment result; here, the stress level corresponding to the stress level score in the emergency risk clinical threshold is determined as the first risk assessment result; Second risk assessment is performed according to the behavior data and the risk condition, to obtain a second risk assessment result; here, the number of behavior data meeting the risk condition can be determined according to the behavior data and the risk condition; the risk level corresponding to the number in the emergency risk clinical threshold is determined as the second risk assessment result. Here, the risk condition can be abnormal physiological response, reduced social interaction, etc. The more data consistent with the risk condition in the behavior data, the more stress symptoms, and the higher the risk. For example, the risk condition includes poor sleep quality, heart rate data not within the preset heart rate value range, blood pressure data not within the preset blood pressure value range, and less social interaction, etc. If the sleep quality, heart rate data, and blood pressure data in the behavior data all meet the risk condition, the number is 3, and the risk level corresponding to the number in the emergency risk clinical threshold is medium risk.

[0036] The risk assessment result is obtained according to the first risk assessment result and the second risk assessment result.

[0037] Here, if the first risk assessment result is low risk and the second risk assessment result is medium risk, the risk level with higher risk level is selected as the risk assessment result by combining the first risk assessment result and the second risk assessment result, i.e. medium risk.

[0038] In an optional embodiment of the present application, step 104 comprises: Step 1041, determining a plurality of preset optimization targets according to the risk assessment result; the plurality of preset optimization targets comprise a first preset optimization target, a second preset optimization target, and a third preset optimization target; Specifically, the first preset optimization target is to reduce the severity of post-traumatic stress symptoms, the second preset optimization target is to improve the quality of life of the child user, and the third preset optimization target is to enhance the psychological resilience of the child user. The number and content of the specific preset optimization targets can be determined according to the needs of the child user.

[0039] Step 1042, obtaining N course combinations; each course combination comprises at least one child rehabilitation training course; N is a positive integer; Specifically, the course combination can include a psychological education course, a relaxation course, an emotion regulation course, a first cognitive processing course, a second cognitive processing course, a safety knowledge building course, etc. According to actual conditions, a plurality of different courses can be set to facilitate subsequent optimization of the course combination for different child users. The course combination can be a combination of at least one of the child rehabilitation training courses, such as a course combination of a psychological education course, or a course combination of a psychological education course and a relaxation course, etc. The N course combinations can be randomly generated. It should be noted that the N course combinations need to meet preset constraints, such as selecting at most 3 courses, and certain courses cannot be selected at the same time, etc.

[0040] Here, since it is difficult for traditional methods to efficiently find such combination optimization problems when the course combinations grow explosively, the course combinations are encoded into "chromosomes", a plurality of course combinations form a "population", and the advantages and disadvantages of each course combination are evaluated through an adaptive function, and then the course combinations are gradually optimized by simulating the biological evolution process.

[0041] Step 1043, encoding processing the N course combinations to obtain an initial population comprising N chromosomes; wherein one chromosome represents one child rehabilitation training course combination, and the population represents a set of all chromosomes; Specifically, the course combination can be encoded into a chromosome in the form of binary encoding, and one chromosome represents the selection of a course, such as [1, 0, 1, 0, 1, 0] representing the selection of courses 1, 3, and 5. The size of the initial population is N, and the value range of N can be 20 to 1000, and N can be set according to actual conditions. Wherein one chromosome represents one child rehabilitation training course combination, and the population represents a set of all chromosomes.

[0042] Step 1044, determining a plurality of preset optimization targets according to the initial population, the plurality of preset optimization targets, and To determine the fitness value of chromosomes; among which, Let be the fitness value of the i-th chromosome. The weights for the first preset optimization objective, The first preset optimization target value (severity of post-traumatic stress symptoms) is the i-th chromosome. The weights for the second preset optimization objective. The second preset optimization target value (the degree of improvement in the quality of life of child users) is the value corresponding to the i-th chromosome. The weights for the third preset optimization objective, Let the third preset optimization target value (the degree of improvement in the psychological resilience of child users) be the value corresponding to the i-th chromosome. ; Specifically, if the preset optimization goal is to minimize problems, such as the degree of stress or the severity of post-traumatic stress symptoms, then it is necessary to... After converting the severity of post-traumatic stress symptoms into a positive indicator, it is then used in the calculation of fitness scores. It is the original value of the severity of post-traumatic stress symptoms (i.e., the original value of the first preset optimization target corresponding to the i-th chromosome). It is the first preset optimization target value corresponding to the i-th chromosome (i.e., the value after being converted into a positive index).

[0043] Step 1045: Based on the fitness values ​​of the chromosomes and the initial population, perform selection, crossover, and mutation to determine a new population; Specifically, a new population is the set of new variants obtained after a round of "evolution" (selection, crossover, mutation). The steps for determining a new population include: Based on chromosome fitness values ​​and Parent individuals are selected for breeding; individuals with higher fitness values ​​have a greater probability of being selected; among them, It is the probability that the i-th chromosome is selected. It is the fitness value of the j-th chromosome in the initial population. , This represents the fitness value of the i-th chromosome. It is accumulated sequentially starting from the first individual in the initial population. The cumulative probability sequence is obtained; a random number r between 0 and 1 is generated; based on the cumulative probability interval in which r falls, the corresponding individual is selected as the parent.

[0044] Randomly select a cross point, and cross the parents to obtain child individuals; for example, exchange the gene segments of two parent individuals to generate two child individuals; in one specific embodiment, parent individual 1 is [1, 0, 1, 0, 1, 0], and parent individual 2 is [0, 1, 0, 1, 0, 1]; the third, fourth and fifth gene segments in parent individual 1 and parent individual 2 are exchanged to obtain child individual 1 [1, 0, 1, 1, 0, 1] and child individual 2 [0, 1, 0, 0, 1, 0].

[0045] According to a preset probability (for example, 0.01), randomly flip a certain gene bit in the child individual (that is, randomly flip the selection of at least one course, for example, flip 0 to 1, or flip 1 to 0), and determine a new population. In one specific embodiment, the child individual is [1, 0, 1, 0, 1, 0], and the flipped child individual is [1, 0, 0, 0, 1, 0].

[0046] Step 1046, determining a first child rehabilitation scheme according to the new population and a preset iteration number.

[0047] Specifically, the new population when the preset iteration number reaches a preset maximum iteration number is determined as the first child rehabilitation scheme, otherwise, the fitness value of the new population is calculated repeatedly, and iteration is continued until the preset iteration number reaches the preset maximum iteration number.

[0048] In an optional embodiment of the present application, step 105 includes: Step 1051, performing rehabilitation training effect evaluation according to the rehabilitation training data obtained from the first child rehabilitation scheme to obtain a rehabilitation training effect evaluation result; Specifically, the first child rehabilitation scheme is sent to a user terminal, and the user uses the user terminal to perform rehabilitation training according to the child rehabilitation training course in the first child rehabilitation scheme, obtains the most targeted guidance and support, and comprehensively improves the learning effect and psychological quality of the user. After the user performs rehabilitation training according to the child rehabilitation training course for a preset time length, a questionnaire is filled out, and the filled questionnaire is used as rehabilitation training data for rehabilitation training effect evaluation. The specific evaluation method can be: The rehabilitation training data is preprocessed in the manner of step 102 to obtain preprocessed data; The risk evaluation method in steps 1031 to 1032 is used to perform rehabilitation training effect evaluation (that is, risk evaluation in step 1032) according to the preprocessed data, and the determined risk level is used as the rehabilitation training effect evaluation result to provide a basis for subsequent scheme adjustment.

[0049] Step 1052, determining comparison data according to the rehabilitation training effect evaluation result and the risk evaluation result; In an optional embodiment of the present application, step 1052 comprises: According to the rehabilitation training effect evaluation result, the risk evaluation result and , the contrast data is determined; the contrast data comprises rehabilitation training effect evaluation result, risk evaluation result and risk level contrast result; Among them, is the risk level contrast result, is the risk level in the risk evaluation result, is the risk level in the rehabilitation training effect evaluation result.

[0050] Specifically, the high risk value can be taken as 3, the medium risk value can be taken as 2, and the low risk value can be taken as 1. According to the difference between the risk level in the rehabilitation training effect evaluation result and the risk level in the risk evaluation result, that is, the risk level contrast result, it is determined whether the user's symptoms are alleviated or aggravated, which is convenient for subsequent adjustment of the intervention scheme according to the contrast data to meet the real-time situation of the user. In a specific embodiment, the risk level in the risk evaluation result is high risk, and the risk level in the rehabilitation training effect evaluation result is medium risk. Therefore, the risk level contrast result is 3-2=1, which is greater than a preset contrast value (such as 0), indicating that the risk level of the user is reduced after a period of rehabilitation training, and the intervention effect is good. Therefore, the rehabilitation training of the first child rehabilitation scheme can be continued or fine-tuned; if the risk level contrast result is less than or equal to the preset contrast value, it indicates that the rehabilitation training effect is not obvious or poor. At this time, the first child rehabilitation scheme needs to be adjusted greatly to improve the rehabilitation training effect.

[0051] Step 1053, according to the contrast data, the first child rehabilitation scheme is adjusted to obtain a second child rehabilitation scheme.

[0052] In an optional embodiment of the present application, step 1053 comprises: Step 10531, according to the contrast data, the weight of a plurality of preset optimization targets is adjusted to obtain an adjusted weight; Specifically, when the risk level contrast result in the contrast data is less than or equal to a preset contrast value, according to and , an adjustment amount is obtained, and the original weight in step 1044 is added to the adjustment amount to obtain an adjusted weight. Among them, is the jth preset optimization target, is the jth preset optimization target, is the original weight (or the current weight) of the jth preset optimization target, and F is the current individual comprehensive fitness value, wherein, is the jth preset optimization target value corresponding to the ith chromosome, is adjusted, is the average value of all target sensitivities.

[0053] Step 10532, according to the adjusted weight, adjusting the first child rehabilitation scheme to obtain a second child rehabilitation scheme.

[0054] Specifically, according to the adjusted weight, repeating steps 1043 to 1045, determining a second child rehabilitation scheme according to the obtained new population and the preset iteration number.

[0055] In an optional embodiment of the present application, step 106 includes wirelessly sending the second child rehabilitation scheme to the user terminal.

[0056] According to the real-time rehabilitation training data of the user, step 105 can be repeated to periodically adjust the child rehabilitation scheme to meet the actual situation of the user and achieve the best rehabilitation training effect.

[0057] One specific embodiment of the method for determining the child rehabilitation scheme for post-traumatic stress symptoms according to the embodiments of the present application includes: Step 111, obtaining child questionnaire survey data and target child rehabilitation training courses; Obtaining child questionnaire survey data including post-traumatic stress symptom data and self-assessment scale data; obtaining a plurality of preset courses as a plurality of initial child rehabilitation training courses.

[0058] Step 112, preprocessing the questionnaire survey data to obtain preprocessed data; By preprocessing the questionnaire survey data, the data quality can be improved, and the accuracy of subsequent risk assessment can be improved.

[0059] Step 113, performing risk assessment according to the preprocessed data to obtain a risk assessment result; The risk assessment result includes the level of stress symptoms. First, the stress level score is calculated, and then the stress level score is compared with the emergency risk clinical threshold to obtain the risk assessment result as mild risk or moderate risk or severe risk.

[0060] Step 1014, determining a first child rehabilitation scheme according to the risk assessment result; The first child rehabilitation scheme includes at least one child rehabilitation training course. By setting a plurality of preset optimization targets, the obtained course combination is encoded, the fitness value of the chromosome is calculated, selection, crossover and mutation are performed to determine a new population, and the first child rehabilitation scheme is determined.

[0061] Step 115, adjusting the first child rehabilitation scheme to obtain a second child rehabilitation scheme; The rehabilitation training data is obtained according to the feedback data of the user performing the first child rehabilitation scheme, and the first child rehabilitation scheme is dynamically adjusted according to the actual situation of the child, so that the obtained second child rehabilitation scheme is more suitable for the actual situation of the child user, and the real-time performance and dynamic adaptability of the rehabilitation scheme are improved.

[0062] In step 116, the second child rehabilitation scheme is sent to the user terminal.

[0063] The second child rehabilitation scheme is sent to the user terminal in a wireless manner, so that the child can continue the rehabilitation training according to the second child rehabilitation scheme.

[0064] The method for determining a child rehabilitation program for post-traumatic stress symptoms according to the embodiments of the present application provides a variety of preset course data, such as animation and audio plug-ins, to create an immersive story-based introduction experience. Each chapter's introduction part can naturally introduce psychological topics, evoke users' emotional resonance, help users quickly enter a learning state, and the story content is not only lively and interesting, but also can be personalized according to the user's learning history and preferences, further enhancing the user's sense of participation and empathy. In terms of positive guidance, through generated case analysis, role-playing and other ways, users are guided to view problems from a positive perspective, cultivate an optimistic attitude, and improve psychological resilience. According to the user's learning data, the corresponding cases and role-playing scenes suitable for the user's current psychological state and learning progress can be retrieved in real time to ensure that each user can obtain the most targeted guidance and support. In this way, users can master knowledge and be given positive guidance and support at the psychological level, and the user's learning effect and psychological quality are comprehensively improved; the preset course data also includes a game-like interactive experience form, the game content is deeply combined with the course theme, for example, users can understand their emotional state through interesting multiple-choice questions; in the word puzzle, users select words to unlock the core concepts of psychology; in role-playing, users can take on different roles and experience emotional resonance and problem-solving processes. Each game is closely integrated with course content, and through data interaction, the user's game progress and performance are recorded. After the user completes the game, new chapters or hidden games are automatically unlocked based on their performance, enhancing the sense of achievement and motivation of learning. The game interface will be dynamically optimized according to the user's operation habits and preferences to ensure that each interaction is more user-friendly. Through this beautiful, friendly and highly customized game design, not only does the learning process become fun, but also helps users master psychological knowledge in a subtle way, achieving the goal of combining learning with fun. The preset course data also includes a multimedia immersive learning method, which enriches the course form and improves the interest and participation through the playback of animation, audio explanation and real case videos. Through the integration of multimedia resources, an immersive learning experience is created for users, truly achieving the goal of combining learning with fun. Through instant rewards and personalized feedback, the goal is to significantly improve user stickiness and learning motivation. After the user completes the chapter learning, virtual point rewards are displayed through animation effects to enhance the user's sense of achievement. For example, pop-up celebration animations, point accumulation progress bars or special achievement badges are used to make users intuitively feel the sense of achievement and progress of learning. According to the user's learning behavior and preferences, personalized incentive feedback is provided. For example, the user's learning habits are analyzed, and encouraging messages are pushed during the user's most active time period, or suitable reward tasks are recommended according to the user's learning progress. The preset course data also includes offline extension classroom consolidation through open-ended homework. Through the release and submission function of the homework, users can view practical tasks related to course content, such as emotion diaries and family interaction experiments, to ensure that each task is tailored to the user's actual needs and learning goals.Detailed learning reports are recorded and provided to help users consolidate learning effects. Different preset course data can be set according to actual conditions.

[0065] The method for determining a child rehabilitation scheme for post-traumatic stress symptoms provided by the embodiments of the present application dynamically adjusts an intervention scheme to ensure maximization of intervention effects, adopts a mobile phone APP form to present main intervention contents of preset course data through various media such as audio and video, and breaks through geographical and time limitations.

[0066] As shown in Figure 2 The embodiments of the present application provide a device 200 for determining a child rehabilitation scheme for post-traumatic stress symptoms, which comprises: An acquisition module 201 is configured to acquire child questionnaire survey data and target child rehabilitation training courses. A processing module 202 is configured to pre-process the questionnaire survey data to obtain pre-processed data, perform risk assessment according to the pre-processed data to obtain a risk assessment result, wherein the risk assessment result comprises a stress symptom level, determine a first child rehabilitation scheme according to the risk assessment result, wherein the first child rehabilitation scheme comprises at least one child rehabilitation training course, adjust the first child rehabilitation scheme according to rehabilitation training data obtained by the first child rehabilitation scheme to obtain a second child rehabilitation scheme, wherein the rehabilitation training data is obtained according to feedback data of a user executing the first child rehabilitation scheme, and send the second child rehabilitation scheme to a user terminal.

[0067] Optionally, the child questionnaire survey data and the target child rehabilitation training courses are acquired, which comprises: The child questionnaire survey data comprises symptom data of post-traumatic stress symptoms and self-assessment scale data. A plurality of initial child rehabilitation training courses are acquired, wherein the child rehabilitation training courses comprise psychological education courses, relaxation courses, emotion regulation courses, at least one type of cognitive processing courses, safety support courses, game courses, animation courses, audio courses, case analysis courses, role-playing courses, reward courses, and practical task courses. The target child rehabilitation training courses are determined according to the plurality of initial child rehabilitation training courses.

[0068] Optionally, the target child rehabilitation training courses are determined according to the plurality of initial child rehabilitation training courses, which comprises: A preset unlocking condition is acquired. The plurality of initial child rehabilitation training courses are individually optimized according to the preset unlocking condition to obtain the target child rehabilitation training courses, wherein the target child rehabilitation training courses comprise a course system of six levels, and each course system corresponds to different learning goals and difficulties.

[0069] Optionally, risk assessment is performed according to the preprocessed data to obtain a risk assessment result, including: According to the preprocessed data, a stress level score S is calculated by using or The stress level score S is compared with an emergency risk clinical threshold value to obtain a risk assessment result as mild risk, moderate risk or severe risk. Wherein, S is the stress level score; n is the total number of questions in the preprocessed data. is the standardized score of the i-th question in the preprocessed data. is the preset dynamic weight of the i-th question in the preprocessed data.

[0070] Optionally, according to the risk assessment result, a first child rehabilitation scheme is determined, including: According to the risk assessment result, a plurality of preset optimization targets are determined; the plurality of preset optimization targets include a first preset optimization target, a second preset optimization target and a third preset optimization target. N course combinations are obtained; each course combination includes at least one child rehabilitation training course; N is a positive integer. The N course combinations are encoded to obtain an initial population containing N chromosomes; wherein one chromosome represents one child rehabilitation training course combination, and the population represents the set of all chromosomes. According to the initial population, the plurality of preset optimization targets and , the fitness value of the chromosome is determined; wherein, is the fitness value of the i-th chromosome, is the weight of the first preset optimization target, is the first preset optimization target value corresponding to the i-th chromosome, is the weight of the second preset optimization target, is the second preset optimization target value corresponding to the i-th chromosome, is the weight of the third preset optimization target, is the third preset optimization target value corresponding to the i-th chromosome. According to the fitness value of the chromosome and the initial population, selection, crossover and mutation are performed to determine a new population. According to the new population and a preset iteration number, a first child rehabilitation scheme is determined.

[0071] Optionally, according to the rehabilitation training data obtained according to the first child rehabilitation scheme, the first child rehabilitation scheme is adjusted to obtain a second child rehabilitation scheme, including: ​The rehabilitation training data obtained according to the first child rehabilitation scheme is used for rehabilitation training effect evaluation, and rehabilitation training effect evaluation results are obtained; According to the rehabilitation training effect evaluation results and the risk evaluation results, comparative data is determined; According to the comparative data, the first child rehabilitation scheme is adjusted to obtain a second child rehabilitation scheme.

[0072] Optionally, according to the comparative data, the first child rehabilitation scheme is adjusted to obtain a second child rehabilitation scheme, including: According to the comparative data, the weights of a plurality of preset optimization targets are adjusted to obtain adjusted weights; According to the adjusted weights, the first child rehabilitation scheme is adjusted to obtain a second child rehabilitation scheme.

[0073] The device for determining a child rehabilitation scheme for post-traumatic stress symptoms in the embodiment of the application obtains child questionnaire survey data and a target child rehabilitation training course, then pre-processes the questionnaire survey data to obtain pre-processed data, performs risk evaluation according to the processed data to obtain risk evaluation results, determines a first child rehabilitation scheme according to the risk evaluation results, adjusts the first child rehabilitation scheme according to rehabilitation training data obtained by the first child rehabilitation scheme to obtain a second child rehabilitation scheme that is sent to a user terminal, determines a corresponding rehabilitation scheme according to the actual situation of a child user, and adjusts the rehabilitation scheme in real time according to rehabilitation training data in the rehabilitation training process to adapt to the actual situation of the child user, can intelligently give an optimized rehabilitation scheme, and improves the dynamic adaptability of the rehabilitation scheme.

[0074] It should be noted that the device corresponds to the above method, and all implementation manners in the above method embodiments are applicable to the device embodiments and can achieve the same technical effects. Details are not described herein again.

[0075] The embodiment of the application further provides a computing device, including a processor and a memory storing a computer program, when the computer program is run by the processor, the method in any one of the above embodiments is executed. All implementation manners in the above method embodiments are applicable to the device embodiments and can achieve the same technical effects. Details are not described herein again.

[0076] The embodiment of the application further provides a computer readable storage medium, which stores instructions, when the instructions are run on a computer, the computer executes the method in any one of the above embodiments. All implementation manners in the above method embodiments are applicable to the device embodiments and can achieve the same technical effects. Details are not described herein again.

[0077] It should be noted that in the apparatus and method of the present application, each component or step can be decomposed and / or recombined. These decompositions and / or recombination should be considered as equivalent schemes of the present application. Also, the steps of performing the above series of processes can be executed in time series naturally in the order of description, but do not necessarily have to be executed in time series. Some steps can be executed in parallel, cross, or independently of each other.

[0078] It should be noted that in the above embodiments, the terms "comprising", "including", or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles, or apparatuses including a series of elements not only include those elements, but also include other elements not explicitly listed, or inherent to such processes, methods, articles, or apparatuses. Without more limitations, the element defined by the statement "including a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus including the element. In addition, it should be pointed out that the scope of the methods and apparatuses in the embodiments of the above embodiments is not limited to performing functions in the order shown or discussed, but can also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted, or combined. In addition, the features described with reference to certain examples can be combined in other examples.

[0079] The above is the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can also be made, which should be considered as the protection scope of the present application.

Claims

1. A method for determining a rehabilitation program for children with post-traumatic stress disorder, characterized in that, include: Obtain children's questionnaire data and rehabilitation training courses for target children; The questionnaire survey data is preprocessed to obtain preprocessed data; A risk assessment is performed based on the preprocessed data to obtain a risk assessment result; the risk assessment result includes the level of stress symptoms; Based on the risk assessment results, a first pediatric rehabilitation plan was determined; The first pediatric rehabilitation program includes at least one pediatric rehabilitation training course; Based on the rehabilitation training data obtained from the first child rehabilitation plan, the first child rehabilitation plan is adjusted to obtain a second child rehabilitation plan; The rehabilitation training data is obtained based on feedback data from the user's execution of the first child rehabilitation program; The second child rehabilitation plan is sent to the user terminal.

2. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 1, characterized in that, Obtain child questionnaire data and rehabilitation training courses for target children, including: Obtain children's questionnaire survey data; the children's questionnaire survey data includes symptom data of post-traumatic stress symptoms and self-assessment scale data; Acquire multiple initial children's rehabilitation training courses; the children's rehabilitation training courses include psychoeducation courses, relaxation courses, emotion regulation courses, at least one type of cognitive processing courses, safety support courses, game courses, animation courses, audio courses, case analysis courses, role-playing courses, reward courses, and practical task courses; Based on the aforementioned multiple initial children's rehabilitation training courses, a target children's rehabilitation training course is determined.

3. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 2, characterized in that, Based on the aforementioned multiple initial pediatric rehabilitation training courses, a target pediatric rehabilitation training course is determined, including: Obtain the preset unlock conditions; The multiple initial children's rehabilitation training courses are personalized and optimized according to the preset unlocking conditions to obtain the target children's rehabilitation training courses; the target children's rehabilitation training courses include a six-level curriculum system, each corresponding to different learning objectives and difficulties.

4. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 1, characterized in that, A risk assessment is performed based on the preprocessed data to obtain the risk assessment results, including: Based on the preprocessed data, the following is adopted: or Calculate the stress level score S; The stress level score S is compared with the clinical threshold of emergency risk to obtain a risk assessment result of mild risk, moderate risk, or severe risk. Where S is the stress level score; n is the total number of problems in the preprocessed data; The standardized score for the i-th question in the preprocessed data; The preset dynamic weights for the i-th problem in the preprocessed data.

5. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 1, characterized in that, Based on the risk assessment results, a first pediatric rehabilitation plan is determined, including: Based on the risk assessment results, multiple preset optimization objectives are determined; the multiple preset optimization objectives include a first preset optimization objective, a second preset optimization objective, and a third preset optimization objective. Find N course combinations; each course combination includes at least one children's rehabilitation training course; N is a positive integer. The N course combinations are encoded to obtain an initial population containing N chromosomes; where each chromosome represents a child rehabilitation training course combination, and the population represents the set of all chromosomes. Based on the initial population, the multiple preset optimization objectives, and To determine the fitness value of chromosomes; among which, Let be the fitness value of the i-th chromosome. The weights for the first preset optimization objective, Let the first preset optimization target value be the value corresponding to the i-th chromosome. The weights for the second preset optimization objective, The second preset optimization target value is the value corresponding to the i-th chromosome. The weights for the third preset optimization objective, The third preset optimization target value is the value corresponding to the i-th chromosome. A new population is determined by selection, crossover, and mutation based on the fitness values ​​of the chromosomes and the initial population. Based on the new population and the preset number of iterations, a first child rehabilitation plan is determined.

6. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 1, characterized in that, Based on the rehabilitation training data obtained from the first children's rehabilitation program, the first children's rehabilitation program is adjusted to obtain a second children's rehabilitation program, including: The rehabilitation training effect is evaluated based on the rehabilitation training data obtained from the first child rehabilitation plan, and the rehabilitation training effect evaluation result is obtained. Comparative data were determined based on the rehabilitation training effectiveness evaluation results and the risk assessment results; Based on the comparative data, the first child rehabilitation plan was adjusted to obtain a second child rehabilitation plan.

7. The method for determining a rehabilitation program for children with post-traumatic stress symptoms according to claim 6, characterized in that, Based on the comparative data, the first pediatric rehabilitation plan is adjusted to obtain a second pediatric rehabilitation plan, including: Based on the comparison data, the weights of multiple preset optimization targets are adjusted to obtain the adjusted weights; Based on the adjusted weights, the first child rehabilitation plan is adjusted to obtain the second child rehabilitation plan.

8. A device for determining a rehabilitation program for children with post-traumatic stress disorder, characterized in that, include: The acquisition module is used to acquire children's questionnaire data and rehabilitation training courses for target children; The processing module is used to preprocess the questionnaire data to obtain preprocessed data; A risk assessment is performed based on the preprocessed data to obtain a risk assessment result; the risk assessment result includes the level of stress symptoms; Based on the risk assessment results, a first pediatric rehabilitation plan was determined; The first pediatric rehabilitation program includes at least one pediatric rehabilitation training course; Based on the rehabilitation training data obtained from the first child rehabilitation plan, the first child rehabilitation plan is adjusted to obtain a second child rehabilitation plan; The rehabilitation training data is obtained based on feedback data from the user's execution of the first child rehabilitation program; the second child rehabilitation program is sent to the user terminal.

9. A computing device, characterized in that, include: A processor, a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The system stores instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

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