Anxiety intervention management system based on dynamic decision engine

Abstract

This invention relates to the technical field of anxiety diagnosis and treatment, and discloses an anxiety intervention management system based on a dynamic decision engine. The system includes an anxiety characteristic identification module, an anxiety intervention management module, and an anxiety intervention and feedback adjustment module. Through a user anxiety intervention plan formulation unit, based on user anxiety type identification information, user anxiety level analysis information, combined with artificial intelligence algorithms and scientifically established standard anxiety type level combinations for different anxiety intervention plans, the system intelligently and reliably formulates user anxiety intervention measures. A user anxiety intervention and rehabilitation video matching unit efficiently matches user anxiety intervention and rehabilitation videos based on user anxiety intervention plan formulation information, combined with intelligent search algorithms and scientifically stored different anxiety intervention and rehabilitation video information, achieving precise video-based intervention for anxiety and improving the applicability of anxiety intervention.

Description

Technical Field

[0001] This invention relates to the technical field of anxiety diagnosis and treatment, specifically to an anxiety intervention and management system based on a dynamic decision engine. Background Technology

[0002] The dynamic decision engine is a real-time, adaptive, and flexibly configurable intelligent decision-making system. Based on real-time data, preset rules, machine learning models, and external feedback, it automatically generates optimal decision solutions and supports dynamic strategy adjustments. The dynamic decision engine includes a data access layer, a decision logic layer, a dynamic adjustment mechanism, and a decision execution layer. Anxiety has become a prevalent problem affecting individual physical and mental health. Anxiety not only manifests as excessive worry, physical discomfort, and avoidance behavior, but also reduces work efficiency, damages interpersonal relationships, and even induces comorbidities such as cardiovascular disease. Anxiety intervention management emphasizes multi-dimensional intervention from a "bio-psycho-social" perspective: With the popularization of mental health services, digital tools and community support networks are becoming new pillars of the intervention system, driving anxiety management from "disease treatment" to "prevention throughout the entire life cycle." However, existing anxiety intervention management platforms cannot achieve intelligent intervention of users' anxiety emotions based on their anxiety characteristics, nor can they achieve precise dynamic adjustment of anxiety intervention measures based on negative feedback, thus reducing the effectiveness and applicability of user anxiety intervention.

[0003] Chinese invention patent application CN120764557A, published on October 10, 2025, discloses a system and method for user emotion recognition and psychological intervention based on a large language model. It identifies potential emotional states by parsing free text input from users; constructs multi-turn dialogue contexts to infer trends in user psychological changes; and generates personalized, gentle, and effective psychological intervention dialogue content by combining a psychology knowledge base. The system supports the recognition and classification of various emotional states such as depression, anxiety, and loneliness, and is applicable to various interaction scenarios, significantly improving the accuracy of emotion recognition and the timeliness and effectiveness of psychological intervention. However, the above technical solutions cannot achieve user emotion intervention and diagnosis. Summary of the Invention

[0004] (a) Technical problems to be solved To address the issues raised by existing anxiety intervention management platforms, which fail to intelligently intervene in users' anxiety based on their anxiety characteristics or to accurately and dynamically adjust anxiety intervention measures based on negative feedback, thus reducing the effectiveness and applicability of anxiety interventions, this platform aims to achieve the following: accurately identify user anxiety types, accurately analyze user anxiety levels, intelligently develop user anxiety intervention plans, autonomously match user anxiety intervention and rehabilitation videos, provide visual guidance for users to conduct anxiety rehabilitation training, dynamically adjust user anxiety intervention tasks based on feedback, and improve the intelligence and quality of user anxiety interventions.

[0005] (II) Technical Solution This invention is achieved through the following technical solution: an anxiety intervention management system based on a dynamic decision engine, the system comprising the following parts: The anxiety feature identification module is used to collect user anxiety feature text information and user anxiety duration information; identify the user's anxiety type to obtain user anxiety type identification information; and analyze the user's anxiety level based on the user's anxiety type and anxiety duration to obtain user anxiety level analysis information. The anxiety intervention management module develops an anxiety intervention plan based on the user's anxiety type and level, and obtains the user's anxiety intervention plan development information; it also matches the user's anxiety intervention and rehabilitation video with the user's anxiety intervention plan, and obtains the user's anxiety intervention and rehabilitation video information. The anxiety intervention and feedback adjustment module is used to execute user anxiety intervention rehabilitation training tasks, collect real-time playback duration information and total duration information of user anxiety intervention rehabilitation videos, and determine the completion status of anxiety intervention rehabilitation training. If the user is not yet completed, the user continues to execute the anxiety intervention rehabilitation training tasks; if the user is completed, the user executes the anxiety intervention feedback adjustment tasks until the user ends the current anxiety intervention task. The anxiety feature identification module includes a user anxiety feature information acquisition unit, a user anxiety duration acquisition unit, a standard anxiety feature information storage unit for different anxiety types, a user anxiety type identification unit, a standard anxiety type duration combination information storage unit for different anxiety levels, and a user anxiety level analysis unit. The user anxiety feature information collection unit collects user anxiety feature text information through the voice input module of the anxiety intervention management platform; the user anxiety duration collection unit collects user anxiety duration information through the voice input module of the anxiety intervention management platform; the standard anxiety feature information storage unit for different anxiety types stores standard anxiety feature text information for different anxiety types; the user anxiety type identification unit performs user anxiety type identification processing based on the user anxiety feature text information and the standard anxiety feature text information for different anxiety types to obtain user anxiety type identification information; the standard anxiety type duration combination information storage unit for different anxiety levels stores standard anxiety type duration combination information for different anxiety levels; the user anxiety level analysis unit performs user anxiety level analysis processing based on the user anxiety type identification information, the user anxiety duration information, and the standard anxiety type duration combination information for different anxiety levels to obtain user anxiety level analysis information; The anxiety intervention management module includes a storage unit for information on standard anxiety type and level combinations of different anxiety intervention programs, a user anxiety intervention program development unit, a storage unit for different anxiety intervention and rehabilitation videos, and a user anxiety intervention and rehabilitation video matching unit. The storage unit for standard anxiety type level combinations of different anxiety intervention programs is used to store information on standard anxiety type level combinations of different anxiety intervention programs; the user anxiety intervention program formulation unit processes the user's required anxiety intervention program based on the user's anxiety type identification information, the user's anxiety level analysis information, and the information on standard anxiety type level combinations of different anxiety intervention programs to obtain user anxiety intervention program formulation information; the storage unit for different anxiety intervention and rehabilitation videos is used to store information on different anxiety intervention and rehabilitation videos; the user anxiety intervention and rehabilitation video matching unit processes the user's required anxiety intervention and rehabilitation videos based on the user anxiety intervention program formulation information and the information on different anxiety intervention and rehabilitation videos to obtain user anxiety intervention and rehabilitation video information; The anxiety intervention and feedback adjustment module includes a user anxiety intervention rehabilitation training execution unit, a user anxiety intervention rehabilitation video real-time playback duration acquisition unit, a user anxiety intervention rehabilitation video total duration acquisition unit, a user anxiety intervention rehabilitation training completion status judgment unit, and a user anxiety intervention feedback adjustment unit. The user anxiety intervention and rehabilitation training execution unit executes user anxiety intervention and rehabilitation training tasks based on the user anxiety intervention and rehabilitation video information and in conjunction with the anxiety intervention management platform and video playback platform; the user anxiety intervention and rehabilitation video real-time playback duration acquisition unit acquires user anxiety intervention and rehabilitation video real-time playback duration information through the video playback platform; the user anxiety intervention and rehabilitation video total duration acquisition unit acquires user anxiety intervention and rehabilitation video total duration information through the video playback platform; the user anxiety intervention and rehabilitation training completion status judgment unit performs user anxiety intervention and rehabilitation training completion status judgment processing based on the user anxiety intervention and rehabilitation video real-time playback duration information and the user anxiety intervention and rehabilitation video total duration information to obtain user anxiety intervention and rehabilitation training completion status judgment information; the user anxiety intervention feedback adjustment unit is used to execute user anxiety intervention feedback adjustment tasks.

[0006] Preferably, the steps for collecting user anxiety feature text information and user anxiety duration information; identifying the user's anxiety type to obtain user anxiety type identification information; and analyzing the user's anxiety level based on the user's anxiety type and anxiety duration to obtain user anxiety level analysis information are as follows: S11. Collect the current anxiety performance characteristics text information of anxious users online through the voice input module of the anxiety intervention management platform, and obtain the user anxiety characteristic text information. The user anxiety characteristic text information includes the performance characteristics text information of anxious users at the emotional and psychological level, physical reaction level, cognitive function level, behavioral pattern level, physiological rhythm level and social function level. The anxiety intervention management platform includes any one of Yixinli, Simple Psychology and This Moment Psychology. The anxiety intervention management platform collects text information about the total duration of current anxiety symptoms of anxious users online through its voice input module, and obtains the user's anxiety duration information, where the unit of user anxiety duration is days; S12. Based on the user anxiety feature text information and the standard anxiety feature text information set of different anxiety types, perform user anxiety type identification processing to obtain user anxiety type identification information; S13. Based on the user anxiety type identification information, the user anxiety duration information, and the information set of different anxiety level standard anxiety type duration combinations, perform user anxiety level analysis processing to obtain user anxiety level analysis information.

[0007] Preferably, the steps for identifying the user's anxiety type based on the user's anxiety feature text information and the standard anxiety feature text information set for different anxiety types, to obtain the user's anxiety type identification information, are as follows: S121. Construct a text information set of standard anxiety features for different anxiety types. ,in Indicates the first The standard anxiety feature text information for different anxiety types corresponding to various anxiety types; wherein the anxiety types include generalized anxiety disorder, panic disorder, social anxiety disorder, specific phobia, and agoraphobia; the standard anxiety feature text information for different anxiety types represents the standard anxiety performance feature text information set for different anxiety types; S122. Using a breadth-first search algorithm, the user anxiety feature text information is compared with the standard anxiety feature text information set for different anxiety types. Textual information on standard anxiety characteristics of different anxiety types described in the text Perform anxiety type character matching to search for standard anxiety feature text information of different anxiety types that match the user's anxiety feature text information. The corresponding anxiety type text information is used to construct user anxiety type identification information.

[0008] Preferably, the steps for performing user anxiety level analysis processing based on the user anxiety type identification information, the user anxiety duration information, and the information set of combinations of anxiety type durations according to different anxiety level standards to obtain user anxiety level analysis information are as follows: S131. Construct an information set of anxiety type duration combinations based on different anxiety level standards. ,in Indicates the first This section provides information on different anxiety level standards and duration combinations corresponding to various anxiety level types. The anxiety level type represents the severity of the anxiety state based on the user's anxiety type and duration, with values ​​ranging from 1 to... This indicates an increase in the severity of anxiety; the information on the combination of standard anxiety types and durations for different anxiety levels represents textual information about the standard anxiety types and durations of anxiety set for different anxiety levels. S132. Using the KMP search algorithm, combine the user anxiety type identification information, the user anxiety duration information, and the duration combination information of different anxiety level standard anxiety types into a single information set. Information on the combination of anxiety levels, anxiety types, and durations as described in the document. Perform text matching between anxiety type and anxiety duration to search for combinations of anxiety type durations that match the user's anxiety type identification information and anxiety duration information at different anxiety levels. The corresponding anxiety level type text information is used to generate user anxiety level analysis information through data identification.

[0009] Preferably, the steps for formulating an anxiety intervention plan based on the user's anxiety type and anxiety level to obtain user anxiety intervention plan formulation information, and matching the user's anxiety intervention and rehabilitation video according to the user's anxiety intervention plan to obtain user anxiety intervention and rehabilitation video information are as follows: S21. Based on the user anxiety type identification information, the user anxiety level analysis information and the information set of standard anxiety type level combinations of different anxiety intervention programs, the user's required anxiety intervention program is formulated to obtain user anxiety intervention program formulation information. S22. Based on the user anxiety intervention plan formulation information, perform matching processing with different anxiety intervention and rehabilitation video information sets to obtain the user anxiety intervention and rehabilitation video information.

[0010] Preferably, the steps for processing the user's required anxiety intervention plan based on the user's anxiety type identification information, the user's anxiety level analysis information, and the information set of standard anxiety type level combinations for different anxiety intervention programs to obtain user anxiety intervention plan formulation information are as follows: S211. Establish an information set of standard anxiety type level combinations for different anxiety intervention programs. ,in Indicates the first This document contains information on the standard anxiety type level combinations for different anxiety intervention program types. The anxiety intervention program types include any one or more of the following: cognitive behavioral therapy, mindfulness and acceptance therapy, exposure therapy, interpersonal relationship therapy, lifestyle adjustment methods, and exercise adjustment methods. Lifestyle adjustment methods include adjusting sleep patterns and diet, while exercise adjustment methods include swimming, running, and cycling. The information on the standard anxiety type level combinations for different anxiety intervention programs represents the textual information of the standard anxiety types and anxiety levels set for each type of anxiety intervention program. S212. Combine the user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information set of different anxiety intervention programs. Information on standard anxiety type level combinations for different anxiety intervention programs described in the document. By performing keyword matching based on anxiety type and anxiety level, the system retrieves standard anxiety type and level combinations from different anxiety intervention programs that match the user's anxiety type identification information and anxiety level analysis information. The corresponding anxiety intervention plan type text information is generated and, after data identification, user anxiety intervention plan formulation information is generated; the specific execution steps for generating the user anxiety intervention plan formulation information are as follows: S2121. Input text preprocessing: Preprocessing the user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information set of different anxiety intervention programs. Information on standard anxiety type level combinations for different anxiety intervention programs described in the document. Chinese text data undergoes preprocessing including text size scaling to a fixed size and text normalization. S2122, Convolutional layer processing: Processing the pre-processed user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information of different anxiety intervention programs. Convolution is performed, and the convolution calculation formula is: ,in and These represent the first convolution adjustment factor and the second convolution adjustment factor, respectively. Represents a constant. The input variables for the convolution formula are the preprocessed user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information of different anxiety intervention programs. ;in express The convolution objective function, The base is The sum of the exponents is The exponential function; Represents the convolution objective function and exponential function In the interval The convolution value is used to extract the new user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information of different anxiety intervention programs. ; S2123. Activation function layer processing: Processing the user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information of different anxiety intervention schemes output by the convolutional layer. Nonlinear transformations are performed using the ReLU activation function, the formula for which is: ,in This refers to the user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information of different anxiety intervention programs. The convolution value; Indicates the value Random numbers within a range; S2124. Pooling layer processing: Processing the user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information of different anxiety intervention programs after linear transformation. Perform downsampling operation; S2125. Fully connected layer processing: Processing the downsampled user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information of different anxiety intervention programs. Flattened into vectors, these vectors can be connected to fully connected layers for classification or regression. S2126. Output Results: The output of the fully connected layer includes the user anxiety type identification information, the user anxiety level analysis information, and the standard anxiety type level combination information of different anxiety intervention programs. Text matching of anxiety type and anxiety level is performed to search for standard anxiety type and level combinations of different anxiety intervention programs that match the user's anxiety type identification information and the user's anxiety level analysis information. The corresponding anxiety intervention plan type text information is used to generate user anxiety intervention plan formulation information through data identification.

[0011] Preferably, the steps for matching the user's anxiety intervention and rehabilitation video information with different anxiety intervention and rehabilitation video information sets based on the user's anxiety intervention plan formulation information are as follows: S221. Establish a collection of video information on different anxiety intervention and rehabilitation procedures. ,in Indicates the first The anxiety intervention program type refers to the optimal anxiety intervention and rehabilitation training guidance video information corresponding to different anxiety intervention program types; S222. Use a depth-first search algorithm to combine the user anxiety intervention plan formulation information with the different anxiety intervention and rehabilitation video information sets. The different anxiety intervention and rehabilitation video information described in the article By performing keyword matching for anxiety intervention program types, the search retrieved different anxiety intervention and rehabilitation video information corresponding to the user's anxiety intervention program development information. The data is then used to generate user anxiety intervention and rehabilitation video information.

[0012] Preferably, the steps for executing user anxiety intervention rehabilitation training tasks, collecting real-time playback duration information and total duration information of user anxiety intervention rehabilitation videos, and determining the completion status of anxiety intervention rehabilitation training to obtain user anxiety intervention rehabilitation training completion status judgment information, are as follows: If not completed, continue executing user anxiety intervention rehabilitation training tasks; if completed, execute user anxiety intervention feedback adjustment tasks until the user ends the current anxiety intervention task. S31. The anxiety intervention and rehabilitation video information of the user is pushed online via the Internet communication network through the anxiety intervention management platform, and the video playback platform is used to output guidance for the user to carry out online anxiety intervention and rehabilitation training. The video playback platform includes any one of TencentVideo, iQIYI, and Youku. S32. During the execution of user anxiety intervention and rehabilitation training tasks, collect information on the real-time playback duration of user anxiety intervention and rehabilitation videos and the total duration of user anxiety intervention and rehabilitation videos simultaneously. S33. Based on the real-time playback duration information and the total duration information of the user's anxiety intervention and rehabilitation video, the user's anxiety intervention and rehabilitation training completion status is judged and processed to obtain the user's anxiety intervention and rehabilitation training completion status judgment information. If not completed, the user's anxiety intervention and rehabilitation training task continues to be executed; if completed, S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to perform user anxiety intervention feedback and adjustment tasks until the user ends this anxiety intervention task.

[0013] Preferably, the steps for simultaneously collecting real-time playback duration information and total duration information of user anxiety intervention and rehabilitation videos during the execution of user anxiety intervention and rehabilitation training tasks are as follows: S321. During the execution of user anxiety intervention and rehabilitation training, the real-time total playback time of the anxiety intervention and rehabilitation video and the total video duration of the entire anxiety intervention and rehabilitation video are collected online simultaneously through the video playback platform, and the real-time playback duration of the user anxiety intervention and rehabilitation video and the total duration of the user anxiety intervention and rehabilitation video are obtained respectively; the units of the real-time playback duration of the user anxiety intervention and rehabilitation video and the total duration of the user anxiety intervention and rehabilitation video are both composed of seconds, minutes, and hours.

[0014] Preferably, the user's anxiety intervention and rehabilitation training completion status is judged based on the real-time playback duration information and the total duration information of the user's anxiety intervention and rehabilitation video. If the training is not completed, the user's anxiety intervention and rehabilitation training continues. If completed, steps S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to provide feedback and adjustment until the user finishes the current anxiety intervention training. The steps are as follows: S331. Compare the real-time playback duration information of the user anxiety intervention and rehabilitation video with the total duration information of the user anxiety intervention and rehabilitation video, and generate user anxiety intervention and rehabilitation training completion status judgment information based on the playback duration comparison result. When the real-time playback duration of the user anxiety intervention and rehabilitation video is less than the total duration of the user anxiety intervention and rehabilitation video, it indicates that the user anxiety intervention and rehabilitation training assignment is not completed. In this case, the user anxiety intervention and rehabilitation training completion status judgment information is output as not completed, and the user anxiety intervention and rehabilitation training assignment continues to be executed. When the real-time playback duration of the user's anxiety intervention and rehabilitation video is not less than the total duration of the user's anxiety intervention and rehabilitation video, it indicates that the user's anxiety intervention and rehabilitation training assignment has been completed. Then, the user's anxiety intervention and rehabilitation training completion status judgment information is output as "completed". At this time, S11, S12, S13, S21, S22, S31, S32, and S33 are repeatedly executed to perform user anxiety intervention feedback and adjustment assignments until the user ends this anxiety intervention assignment.

[0015] (III) Beneficial Effects This invention provides an anxiety intervention management system based on a dynamic decision engine. It has the following beneficial effects: First, the voice input module of the anxiety intervention management platform accurately and efficiently acquires user anxiety characteristic information and user anxiety duration information, providing real data support for subsequent accurate analysis of user anxiety type and anxiety level. Based on user anxiety characteristic text information, combined with intelligent search algorithms and scientifically stored standard anxiety characteristic text information for different anxiety types, the platform accurately identifies user anxiety types, achieving reliable identification of user anxiety type classification and improving the scientific nature of anxiety intervention. Second, based on user anxiety type identification information and user anxiety duration information, combined with intelligent search algorithms and data from big data storage of different anxiety level standard anxiety type duration combinations, the platform accurately analyzes user anxiety levels, achieving quantitative assessment of user anxiety levels and improving the effectiveness of anxiety intervention.

[0016] Second, by combining user anxiety type identification information, user anxiety level analysis information, artificial intelligence algorithms, and scientifically established standard anxiety type level combination information for different anxiety intervention programs, intelligently formulate the user's required anxiety intervention program, thereby improving the reliability of anxiety intervention; based on the user's anxiety intervention program formulation information, combined with intelligent search algorithms and scientifically stored different anxiety intervention and rehabilitation video information, efficiently match user's anxiety intervention and rehabilitation videos, thereby achieving precise video-based intervention of anxiety emotions and improving the applicability of anxiety intervention.

[0017] Third, by combining user anxiety intervention and rehabilitation video information with an anxiety intervention management platform and a video playback platform, the system visualizes and executes user anxiety intervention and rehabilitation training tasks, providing intuitive and visual guidance for users to treat anxiety. The video playback platform accurately collects the total duration and real-time playback duration of user anxiety intervention and rehabilitation videos, providing reliable data support for dynamically monitoring the completion status of anxiety intervention and rehabilitation training. Based on the real-time playback duration and total duration of user anxiety intervention and rehabilitation videos, the system autonomously monitors the completion status of user anxiety intervention and rehabilitation training, and autonomously executes user anxiety intervention feedback adjustment tasks. This achieves intelligent and accurate detection of the completion status of user anxiety intervention and rehabilitation training and dynamic feedback adjustment of anxiety intervention based on the intervention effect. It realizes a negative feedback closed-loop anxiety intervention management mechanism based on a dynamic decision engine, constructing a data collection-assessment-intervention-feedback mechanism, thereby improving the quality and intelligence of anxiety intervention management. Attached Figure Description

[0018] Figure 1 A schematic diagram of the modules of the anxiety intervention management system based on a dynamic decision engine provided by the present invention; Figure 2 The flowchart of the anxiety intervention management system based on a dynamic decision engine provided by this invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] An example of the anxiety intervention management system based on a dynamic decision engine is as follows: Example: Please see Figures 1-2 An anxiety intervention management system based on a dynamic decision engine, the system includes the following components: The anxiety feature identification module is used to collect user anxiety feature text information and user anxiety duration information; identify the user's anxiety type to obtain user anxiety type identification information; and analyze the user's anxiety level based on the user's anxiety type and anxiety duration to obtain user anxiety level analysis information. The anxiety intervention management module develops an anxiety intervention plan based on the user's anxiety type and level, and obtains the user's anxiety intervention plan development information; it also matches the user's anxiety intervention and rehabilitation video with the user's anxiety intervention plan, and obtains the user's anxiety intervention and rehabilitation video information. The anxiety intervention and feedback adjustment module is used to execute user anxiety intervention rehabilitation training tasks, collect real-time playback duration information and total duration information of user anxiety intervention rehabilitation videos, and determine the completion status of anxiety intervention rehabilitation training. If the user is not yet completed, the user continues to execute the anxiety intervention rehabilitation training tasks; if the user is completed, the user executes the anxiety intervention feedback adjustment tasks until the user ends the current anxiety intervention task. The anxiety feature identification module includes a user anxiety feature information collection unit, a user anxiety duration collection unit, a standard anxiety feature information storage unit for different anxiety types, a user anxiety type identification unit, a standard anxiety type duration combination information storage unit for different anxiety levels, and a user anxiety level analysis unit. The user anxiety feature information collection unit collects user anxiety feature text information through the voice input module of the anxiety intervention management platform; the user anxiety duration collection unit collects user anxiety duration information through the voice input module of the anxiety intervention management platform; the standard anxiety feature information storage unit for different anxiety types stores standard anxiety feature text information for different anxiety types; the user anxiety type identification unit performs user anxiety type identification processing based on the user anxiety feature text information and the standard anxiety feature text information for different anxiety types to obtain user anxiety type identification information; the standard anxiety type duration combination information storage unit stores information on the combination of standard anxiety type durations for different anxiety levels; the user anxiety level analysis unit performs user anxiety level analysis processing based on the user anxiety type identification information, user anxiety duration information, and standard anxiety type duration combination information for different anxiety levels to obtain user anxiety level analysis information. The anxiety intervention management module includes a storage unit for information on standard anxiety type and level combinations of different anxiety intervention programs, a user anxiety intervention program development unit, a storage unit for different anxiety intervention and rehabilitation videos, and a user anxiety intervention and rehabilitation video matching unit. The system includes: a standard anxiety type level combination information storage unit for different anxiety intervention programs; a user anxiety intervention program development unit that processes user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information from different anxiety intervention programs to develop the user's required anxiety intervention program; a different anxiety intervention and rehabilitation video storage unit that stores different anxiety intervention and rehabilitation video information; and a user anxiety intervention and rehabilitation video matching unit that matches the user's required anxiety intervention and rehabilitation video with the user anxiety intervention program development information to obtain the user anxiety intervention and rehabilitation video information. The anxiety intervention and feedback adjustment module includes a user anxiety intervention rehabilitation training execution unit, a user anxiety intervention rehabilitation video real-time playback duration acquisition unit, a user anxiety intervention rehabilitation video total duration acquisition unit, a user anxiety intervention rehabilitation training completion status judgment unit, and a user anxiety intervention feedback adjustment unit. The user anxiety intervention and rehabilitation training execution unit executes user anxiety intervention and rehabilitation training tasks based on user anxiety intervention and rehabilitation video information and in conjunction with the anxiety intervention management platform and video playback platform; the user anxiety intervention and rehabilitation video real-time playback duration collection unit collects user anxiety intervention and rehabilitation video real-time playback duration information through the video playback platform; the user anxiety intervention and rehabilitation video total duration collection unit collects user anxiety intervention and rehabilitation video total duration information through the video playback platform; the user anxiety intervention and rehabilitation training completion status judgment unit performs user anxiety intervention and rehabilitation training completion status judgment processing based on user anxiety intervention and rehabilitation video real-time playback duration information and user anxiety intervention and rehabilitation video total duration information to obtain user anxiety intervention and rehabilitation training completion status judgment information; and the user anxiety intervention feedback adjustment unit is used to execute user anxiety intervention feedback adjustment tasks.

[0021] For further details, please refer to Figures 1-2 The following steps are used to collect textual information on user anxiety characteristics and duration; identify user anxiety types to obtain user anxiety type identification information; and analyze user anxiety levels based on user anxiety types and durations to obtain user anxiety level analysis information: S11. Collect the current anxiety performance characteristics text information of anxious users online through the voice input module of the anxiety intervention management platform, and obtain the user anxiety characteristic text information. The user anxiety characteristic text information includes the performance characteristics text information of anxious users at the emotional and psychological level, physical reaction level, cognitive function level, behavioral pattern level, physiological rhythm level and social function level. The anxiety intervention management platform includes any one of Yixinli, Simple Psychology and This Moment Psychology. The anxiety intervention management platform collects text information about the total duration of current anxiety symptoms of anxious users online through its voice input module, and obtains the user's anxiety duration information, where the unit of user anxiety duration is days; S12. Based on the user's anxiety feature text information and the standard anxiety feature text information set of different anxiety types, the user's anxiety type identification process is performed to obtain the user's anxiety type identification information. S13. Based on the user anxiety type identification information, user anxiety duration information, and the information set of different anxiety level standard anxiety type duration combinations, perform user anxiety level analysis processing to obtain user anxiety level analysis information.

[0022] The steps for identifying user anxiety type based on user anxiety feature text information and standard anxiety feature text information sets for different anxiety types are as follows: S121. Construct a text information set of standard anxiety features for different anxiety types. ,in Indicates the first This document contains standard anxiety feature text information corresponding to different anxiety types. The anxiety types include generalized anxiety disorder, panic disorder, social anxiety disorder, specific phobia, and agoraphobia. The standard anxiety feature text information for each anxiety type represents the standard anxiety performance feature text information set for different anxiety types. S122. Use a breadth-first search algorithm to compare user anxiety feature text information with standard anxiety feature text information sets for different anxiety types. Textual information on standard anxiety characteristics of different anxiety types Perform anxiety type character matching to search for standard anxiety feature text information of different anxiety types that match the user's anxiety feature text information. The corresponding anxiety type text information is used to construct user anxiety type identification information.

[0023] The steps for analyzing user anxiety levels based on user anxiety type identification information, user anxiety duration information, and a combination of anxiety type duration information sets according to different anxiety level standards are as follows: S131. Construct an information set of anxiety type duration combinations based on different anxiety level standards. ,in Indicates the first This section provides information on different anxiety level standards and duration combinations corresponding to various anxiety level types. The anxiety level type represents the severity of the anxiety state based on the user's anxiety type and duration, with values ​​ranging from 1 to... This indicates an increased severity of anxiety; the information on the combination of standard anxiety types and durations for different anxiety levels is textual information indicating the standard anxiety types and durations of anxiety for different anxiety levels. S132. Use the KMP search algorithm to combine user anxiety type identification information, user anxiety duration information, and anxiety type duration information of different anxiety level standards into a single information set. Information on different anxiety level standards, anxiety type duration combinations Perform text matching between anxiety type and anxiety duration to search for different anxiety level standards and anxiety type-duration combinations that match the user's anxiety type identification information and anxiety duration information. The corresponding anxiety level type text information is used to generate user anxiety level analysis information through data identification.

[0024] By coordinating user anxiety feature information collection units and user anxiety duration collection units, the voice input module of the anxiety intervention management platform accurately and efficiently acquires user anxiety feature information and user anxiety duration information, providing real data support for subsequent accurate analysis of user anxiety types and levels. The user anxiety type identification unit accurately identifies user anxiety types based on user anxiety feature text information combined with intelligent search algorithms and scientifically stored standard anxiety feature text information for different anxiety types, achieving reliable identification of user anxiety type classification and improving the scientific rigor of anxiety intervention. The user anxiety level analysis unit accurately analyzes user anxiety levels based on user anxiety type identification information, user anxiety duration information, intelligent search algorithms, and standard anxiety type duration combination information based on big data storage, achieving quantitative assessment of user anxiety levels and improving the effectiveness of anxiety intervention.

[0025] For further details, please refer to Figures 1-2 The steps for developing an anxiety intervention plan based on the user's anxiety type and level, obtaining information on the user's anxiety intervention plan, and matching the user's anxiety intervention and rehabilitation video with the user's anxiety intervention plan are as follows: S21. Based on user anxiety type identification information, user anxiety level analysis information and information set of standard anxiety type level combinations of different anxiety intervention programs, process the user's required anxiety intervention program to obtain user anxiety intervention program development information. S22. Based on the user's anxiety intervention plan information, match the user's required anxiety intervention and rehabilitation videos with different anxiety intervention and rehabilitation video information sets to obtain the user's anxiety intervention and rehabilitation video information.

[0026] The steps for processing user anxiety intervention plan formulation information based on user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information sets of different anxiety intervention programs are as follows: S211. Establish an information set of standard anxiety type level combinations for different anxiety intervention programs. ,in Indicates the first This section provides information on the standard anxiety type level combinations for different anxiety intervention program types. The anxiety intervention program types include any one or more of the following: cognitive behavioral therapy, mindfulness and acceptance therapy, exposure therapy, interpersonal relationship therapy, lifestyle adjustment methods, and exercise adjustment methods. Lifestyle adjustment methods include adjusting sleep patterns and diet, while exercise adjustment methods include swimming, running, and cycling. The information on standard anxiety type level combinations for different anxiety intervention programs represents the standard anxiety type and anxiety level set for each type of anxiety intervention program. S212, Combine user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information sets of different anxiety intervention programs. Information on standard anxiety type level combinations for different anxiety intervention programs in China By performing keyword matching based on anxiety type and anxiety level, we can retrieve information on standard anxiety type and level combinations of different anxiety intervention programs that match the user's anxiety type identification information and anxiety level analysis information. The corresponding anxiety intervention plan type text information is generated and, after data identification, user anxiety intervention plan formulation information is generated. The specific execution steps for generating user anxiety intervention plan formulation information are as follows: S2121. Input text preprocessing: This involves combining user anxiety type identification information, user anxiety level analysis information, and information sets of standard anxiety type level combinations from different anxiety intervention programs. Information on standard anxiety type level combinations for different anxiety intervention programs in China Chinese text data undergoes preprocessing including text size scaling to a fixed size and text normalization. S2122, Convolutional Layer Processing: This involves processing the pre-processed user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combinations from different anxiety intervention programs. Convolution is performed, and the convolution calculation formula is: ,in and These represent the first convolution adjustment factor and the second convolution adjustment factor, respectively. Represents a constant. The input variables for the convolution formula are the preprocessed user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combinations from different anxiety intervention programs. ;in express The convolution objective function, The base is The sum of the exponents is The exponential function; Represents the convolution objective function and exponential function In the interval The convolution values ​​are used to extract new user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information for different anxiety intervention programs. ; S2123. Activation function layer processing: Processing the user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combination information of different anxiety intervention programs output by the convolutional layer. Nonlinear transformations are performed using the ReLU activation function, the formula for which is: ,in This includes information on user anxiety type identification, user anxiety level analysis, and combinations of standard anxiety type levels from different anxiety intervention programs. The convolution value; Indicates the value Random numbers within a range; S2124. Pooling layer processing: Processing user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combinations of different anxiety intervention programs after linear transformation. Perform downsampling operation; S2125, Fully Connected Layer Processing: This process integrates downsampled user anxiety type identification information, user anxiety level analysis information, and standard anxiety type level combinations from different anxiety intervention programs. Flattened into vectors, these vectors can be connected to fully connected layers for classification or regression. S2126. Output Results: The output of the fully connected layer includes user anxiety type identification information, user anxiety level analysis information, and information on the combination of standard anxiety type levels for different anxiety intervention programs. Text matching of anxiety type and anxiety level is performed to search for standard anxiety type and level combinations of different anxiety intervention programs that match the user's anxiety type identification information and anxiety level analysis information. The corresponding anxiety intervention plan type text information is used to generate user anxiety intervention plan formulation information through data identification.

[0027] The steps for matching user anxiety intervention and rehabilitation video information with different anxiety intervention and rehabilitation video information sets to obtain the user's required anxiety intervention and rehabilitation video information are as follows: S221. Establish a collection of video information on different anxiety intervention and rehabilitation procedures. ,in Indicates the first This section provides different anxiety intervention and rehabilitation video information corresponding to various anxiety intervention program types; the anxiety intervention program type indicates the optimal anxiety intervention and rehabilitation training guidance video information designed for different anxiety intervention program types. S222. Use a depth-first search algorithm to combine user anxiety intervention program development information with different anxiety intervention and rehabilitation video information sets. Video information on different anxiety interventions and rehabilitation By performing keyword matching for anxiety intervention program types, the search retrieved different anxiety intervention and rehabilitation video information corresponding to the user's anxiety intervention program development information. The data is then used to generate user anxiety intervention and rehabilitation video information.

[0028] The user anxiety intervention program development unit intelligently develops user-required anxiety intervention programs based on user anxiety type identification information, user anxiety level analysis information, artificial intelligence algorithms, and scientifically established standard anxiety type level combinations for different anxiety intervention programs. This achieves intelligent and reliable development of user anxiety intervention measures and improves the reliability of anxiety intervention. The user anxiety intervention and rehabilitation video matching unit efficiently matches user anxiety intervention and rehabilitation videos based on user anxiety intervention program development information, intelligent search algorithms, and scientifically stored different anxiety intervention and rehabilitation video information. This achieves precise video-based intervention for anxiety and improves the applicability of anxiety intervention.

[0029] For further details, please refer to Figures 1-2 This system is used to execute user anxiety intervention and rehabilitation training tasks. It collects real-time playback duration and total video duration information for user anxiety intervention and rehabilitation, and determines the completion status of the training. If the training is not yet complete, the system continues to execute the user's anxiety intervention and rehabilitation training tasks. If the training is complete, the system executes user anxiety intervention feedback and adjustment tasks until the user finishes the current anxiety intervention task. The operational steps are as follows: S31. Through the anxiety intervention management platform, the user's anxiety intervention and rehabilitation video information is pushed online via the Internet communication network, and the video playback platform is used to guide the user to carry out online anxiety intervention and rehabilitation training. The video playback platform includes any one of TencentVideo, iQIYI, and Youku. S32. During the execution of user anxiety intervention and rehabilitation training tasks, collect information on the real-time playback duration of user anxiety intervention and rehabilitation videos and the total duration of user anxiety intervention and rehabilitation videos simultaneously. S33. Based on the real-time playback duration information and the total duration information of the user's anxiety intervention and rehabilitation video, the user's anxiety intervention and rehabilitation training completion status is judged and processed to obtain the user's anxiety intervention and rehabilitation training completion status judgment information. If not completed, the user's anxiety intervention and rehabilitation training task continues to be executed; if completed, S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to perform user anxiety intervention feedback and adjustment tasks until the user ends this anxiety intervention task.

[0030] The steps for simultaneously collecting real-time playback duration and total duration information of user anxiety intervention and rehabilitation videos during the execution of user anxiety intervention and rehabilitation training are as follows: S321. During the execution of user anxiety intervention and rehabilitation training, the real-time total playback time of the anxiety intervention and rehabilitation video and the total video duration of the entire anxiety intervention and rehabilitation video are collected online simultaneously through the video playback platform, and the real-time playback duration of the user anxiety intervention and rehabilitation video and the total duration of the user anxiety intervention and rehabilitation video are obtained respectively; the units of the real-time playback duration of the user anxiety intervention and rehabilitation video and the total duration of the user anxiety intervention and rehabilitation video are both composed of seconds, minutes, and hours.

[0031] Based on the real-time playback duration and total duration of the user's anxiety intervention and rehabilitation video, the user's anxiety intervention and rehabilitation training completion status is assessed. If not yet completed, the user continues the anxiety intervention and rehabilitation training; if completed, steps S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to provide feedback and adjust the anxiety intervention until the user finishes the current anxiety intervention. The steps are as follows: S331. Compare the real-time playback duration information of the user's anxiety intervention and rehabilitation video with the total playback duration information of the user's anxiety intervention and rehabilitation video, and generate user anxiety intervention and rehabilitation training completion status judgment information based on the playback duration comparison result. When the real-time playback time of the user anxiety intervention and rehabilitation video is less than the total duration of the user anxiety intervention and rehabilitation video, it indicates that the user anxiety intervention and rehabilitation training assignment is not completed. In this case, the user anxiety intervention and rehabilitation training completion status judgment information is output as not completed, and the user anxiety intervention and rehabilitation training assignment continues to be executed. When the real-time playback duration of the user's anxiety intervention and rehabilitation video is not less than the total duration of the user's anxiety intervention and rehabilitation video, it indicates that the user's anxiety intervention and rehabilitation training assignment has been completed. The user's anxiety intervention and rehabilitation training completion status judgment information is output as "completed". At this time, S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to provide user anxiety intervention feedback and adjust the assignment until the user finishes this anxiety intervention assignment.

[0032] The user anxiety intervention and rehabilitation training execution unit, based on user anxiety intervention and rehabilitation video information combined with the anxiety intervention management platform and video playback platform, visualizes and executes user anxiety intervention and rehabilitation training tasks, providing intuitive and visual guidance for users to treat anxiety. The user anxiety intervention and rehabilitation video real-time playback duration collection unit and the user anxiety intervention and rehabilitation video total duration collection unit work together to accurately collect the total duration and dynamically collect the real-time playback duration of user anxiety intervention and rehabilitation videos through the video playback platform, providing reliable data support for dynamically monitoring the completion status of anxiety intervention and rehabilitation training. The user anxiety intervention and rehabilitation training completion status judgment unit and the user anxiety intervention feedback adjustment unit work together to autonomously monitor the user anxiety intervention and rehabilitation training completion status based on the real-time playback duration and the total duration of user anxiety intervention and rehabilitation videos, and autonomously execute user anxiety intervention feedback adjustment tasks. This achieves intelligent and accurate detection of the user anxiety intervention and rehabilitation training completion status and dynamic feedback adjustment of anxiety intervention based on the anxiety intervention effect, realizing a negative feedback closed-loop anxiety intervention management mechanism based on dynamic decision engine construction of collection-assessment-intervention-feedback, improving the quality and intelligence of anxiety intervention management.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An anxiety intervention management system based on a dynamic decision engine, characterized in that, The system includes the following components: The anxiety feature identification module is used to collect user anxiety feature text information and user anxiety duration information; identify the user's anxiety type to obtain user anxiety type identification information; and analyze the user's anxiety level based on the user's anxiety type and anxiety duration to obtain user anxiety level analysis information. The anxiety intervention management module develops an anxiety intervention plan based on the user's anxiety type and level, and obtains the user's anxiety intervention plan development information; it also matches the user's anxiety intervention and rehabilitation video with the user's anxiety intervention plan, and obtains the user's anxiety intervention and rehabilitation video information. The anxiety intervention and feedback adjustment module is used to execute user anxiety intervention rehabilitation training tasks, collect real-time playback duration information and total duration information of user anxiety intervention rehabilitation videos, and determine the completion status of anxiety intervention rehabilitation training. If the user is not yet completed, the user continues to execute the anxiety intervention rehabilitation training tasks; if the user is completed, the user executes the anxiety intervention feedback adjustment tasks until the user ends the current anxiety intervention task.

2. The anxiety intervention management system based on a dynamic decision engine according to claim 1, characterized in that: The steps for collecting user anxiety feature text information and user anxiety duration information; identifying user anxiety types to obtain user anxiety type identification information; and analyzing user anxiety levels based on user anxiety types and durations to obtain user anxiety level analysis information are as follows: S11. Collect the current anxiety performance characteristics text information of anxious users online through the voice input module of the anxiety intervention management platform, and obtain the user's anxiety characteristic text information; The anxiety intervention management platform collects text information about the total duration of current anxiety symptoms from anxious users online through its voice input module, and obtains the user's anxiety duration information. S12. Based on the user anxiety feature text information and the standard anxiety feature text information set of different anxiety types, perform user anxiety type identification processing to obtain user anxiety type identification information; S13. Based on the user anxiety type identification information, the user anxiety duration information, and the information set of different anxiety level standard anxiety type duration combinations, perform user anxiety level analysis processing to obtain user anxiety level analysis information.

3. The anxiety intervention management system based on a dynamic decision engine according to claim 2, characterized in that: The operation steps of S12 are as follows: S121. Construct a text information set of standard anxiety features for different anxiety types. The include ;in Indicates the first Textual information on standard anxiety characteristics corresponding to different anxiety types; S122. Use a breadth-first search algorithm to combine the user anxiety feature text information with the... The above Perform anxiety type character matching to search for text information that matches the user's anxiety characteristics. The corresponding anxiety type text information is used to construct user anxiety type identification information.

4. The anxiety intervention management system based on a dynamic decision engine according to claim 3, characterized in that: The operation steps of S13 are as follows: S131. Construct an information set of anxiety type duration combinations based on different anxiety level standards. The include ;in Indicates the first Information on the combination of anxiety level standards and durations corresponding to different anxiety level types; S132, Using the KMP search algorithm, the user anxiety type identification information, the user anxiety duration information, and the... The above Perform text matching between anxiety type and anxiety duration to search for texts that match the user's anxiety type identification information and anxiety duration information. The corresponding anxiety level type text information is used to generate user anxiety level analysis information through data identification.

5. The anxiety intervention management system based on a dynamic decision engine according to claim 4, characterized in that: The steps for developing an anxiety intervention plan based on the user's anxiety type and level, obtaining user anxiety intervention plan development information, and matching the user's anxiety intervention and rehabilitation video with the user's anxiety intervention plan to obtain user anxiety intervention and rehabilitation video information are as follows: S21. Based on the user anxiety type identification information, the user anxiety level analysis information and the information set of standard anxiety type level combinations of different anxiety intervention programs, the user's required anxiety intervention program is formulated to obtain user anxiety intervention program formulation information. S22. Based on the user anxiety intervention plan formulation information, perform matching processing with different anxiety intervention and rehabilitation video information sets to obtain the user anxiety intervention and rehabilitation video information.

6. The anxiety intervention management system based on a dynamic decision engine according to claim 5, characterized in that: The operation steps of S21 are as follows: S211. Establish an information set of standard anxiety type level combinations for different anxiety intervention programs. The include ;in Indicates the first Information on standard anxiety type level combinations for different anxiety intervention program types; S212, Combine the user anxiety type identification information and the user anxiety level analysis information with the... The above Perform keyword matching based on anxiety type and anxiety level to search for keywords that match the user's anxiety type identification information and anxiety level analysis information. The corresponding anxiety intervention plan type text information is generated and, after data identification, user anxiety intervention plan formulation information is generated; the specific execution steps for generating the user anxiety intervention plan formulation information are as follows: S2121, Input text preprocessing: Preprocessing the user anxiety type identification information, the user anxiety level analysis information, and the... The above Chinese text data undergoes preprocessing including text size scaling to a fixed size and text normalization. S2122, Convolutional layer processing: Processing the preprocessed user anxiety type identification information, user anxiety level analysis information, and... Perform convolution processing; S2123, Activation function layer processing: Processing the user anxiety type identification information, the user anxiety level analysis information, and the information output by the convolutional layer. Nonlinear transformation is performed using the ReLU activation function; S2124, Pooling layer processing: Processing the user anxiety type identification information, the user anxiety level analysis information, and the... after linear transformation. Perform a downsampling operation; S2125, Fully Connected Layer Processing: Process the downsampled user anxiety type identification information, the user anxiety level analysis information, and the... Flattened into vectors, these vectors can be connected to fully connected layers for classification or regression. S2126. Output Results: Perform text matching processing on the user anxiety type identification information, user anxiety level analysis information, and anxiety type and anxiety level information output from the fully connected layer to search for texts that match the user anxiety type identification information and user anxiety level analysis information. The corresponding anxiety intervention plan type text information is used to generate user anxiety intervention plan formulation information through data identification.

7. The anxiety intervention management system based on a dynamic decision engine according to claim 6, characterized in that: The operation steps of S22 are as follows: S221. Establish a collection of video information on different anxiety intervention and rehabilitation procedures. The include ;in Indicates the first Different anxiety intervention and rehabilitation video information corresponding to various types of anxiety intervention programs; S222, Using a depth-first search algorithm, the user anxiety intervention plan formulation information is compared with the... The above Perform keyword matching for anxiety intervention program types to search for the information corresponding to the user's anxiety intervention program development information. The data is then used to generate user anxiety intervention and rehabilitation video information.

8. The anxiety intervention management system based on a dynamic decision engine according to claim 7, characterized in that: The steps for executing user anxiety intervention and rehabilitation training tasks, collecting real-time playback duration information and total duration information of user anxiety intervention and rehabilitation videos, and determining the completion status of anxiety intervention and rehabilitation training, are as follows: If not completed, the user anxiety intervention and rehabilitation training tasks continue to be executed; if completed, the user anxiety intervention feedback and adjustment tasks are executed until the user ends the current anxiety intervention task S3. S31. The anxiety intervention and rehabilitation video information of the user is pushed online through the Internet communication network via the anxiety intervention management platform, and the video playback platform is used to output guidance for the user to carry out online anxiety intervention and rehabilitation training. S32. During the execution of user anxiety intervention and rehabilitation training tasks, collect information on the real-time playback duration of user anxiety intervention and rehabilitation videos and the total duration of user anxiety intervention and rehabilitation videos simultaneously. S33. Based on the real-time playback duration information and the total duration information of the user's anxiety intervention and rehabilitation video, the user's anxiety intervention and rehabilitation training completion status is judged and processed to obtain the user's anxiety intervention and rehabilitation training completion status judgment information. If not completed, the user's anxiety intervention and rehabilitation training task continues to be executed; if completed, S11, S12, S13, S21, S22, S31, S32, and S33 are repeated to perform user anxiety intervention feedback and adjustment tasks until the user ends this anxiety intervention task.

9. The anxiety intervention management system based on a dynamic decision engine according to claim 8, characterized in that: The operation steps of S32 are as follows: S321. During the execution of user anxiety intervention and rehabilitation training, the real-time total playback time of the anxiety intervention and rehabilitation video and the total video duration of the entire anxiety intervention and rehabilitation video are collected online simultaneously through the video playback platform, and the real-time playback duration of the user anxiety intervention and rehabilitation video and the total duration of the user anxiety intervention and rehabilitation video are obtained respectively.

10. The anxiety intervention management system based on a dynamic decision engine according to claim 9, characterized in that: The operation steps of S33 are as follows: S331. Compare the real-time playback duration information of the user anxiety intervention and rehabilitation video with the total duration information of the user anxiety intervention and rehabilitation video, and generate user anxiety intervention and rehabilitation training completion status judgment information based on the playback duration comparison result. When the real-time playback duration of the user anxiety intervention and rehabilitation video is less than the total duration of the user anxiety intervention and rehabilitation video, the user anxiety intervention and rehabilitation training completion status judgment information is output as incomplete, and the user anxiety intervention and rehabilitation training task continues to be executed. When the real-time playback duration of the user's anxiety intervention and rehabilitation video is not less than the total duration of the user's anxiety intervention and rehabilitation video, the user's anxiety intervention and rehabilitation training completion status judgment information is output as completed. At this time, S11, S12, S13, S21, S22, S31, S32, and S33 are repeatedly executed to perform user anxiety intervention feedback and adjustment tasks until the user ends this anxiety intervention task.

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