Health management system combining traditional Chinese medicine and artificial intelligence

Abstract

The invention discloses a health management system combining traditional Chinese medicine and artificial intelligence, and relates to the technical field of traditional Chinese medicine health management, the system constructs a brand-new traditional Chinese medicine knowledge database, the comprehensive digitalization of traditional Chinese medicine knowledge is realized, the database not only contains rich traditional Chinese medicine, prescription, disease and symptom information, but also contains rich traditional Chinese medicine, prescription, disease and symptom information. Meanwhile, personalized medicine recommendation can be provided in combination with detailed personal health archives of the user, and it is ensured that each recommendation is based on the physique, medical history and specific symptoms of the user, so that the treatment effect is improved, and the user experience is enhanced; a symptom picture uploaded by a user can be rapidly analyzed, pathological features can be accurately recognized and matched with traditional Chinese medicine knowledge in a database, possible disease diagnosis is obtained, an intelligent dialogue system is combined, all-weather online consultation service is provided, the user can conduct natural language communication with an AI assistant, and the user experience is improved. Professional suggestions and answers for own health conditions are obtained, and modernization and intellectualization of traditional Chinese medicine services are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of traditional Chinese medicine health management, and specifically to a health management system that combines traditional Chinese medicine with artificial intelligence. Background Art

[0002] Faced with the dual challenges of China's growing population and rising medical needs, the public's demand for convenient medical services is growing. Traditional Chinese Medicine consultations, often characterized by difficulty in securing appointments and long waiting times, present significant inconvenience for patients. However, with the widespread adoption of smartphones and mobile internet, individuals seeking treatment for minor ailments or general well-being can now access treatment methods online, avoiding the need to scramble for precious medical resources. This presents new opportunities for AI-based medical image analysis and consulting services, making healthcare more efficient and accessible. Traditional Chinese Medicine, a long-standing medical discipline, meticulously documents the benefits and uses of various herbal remedies.

[0003] Internationally, Traditional Chinese Medicine (TCM), as a form of traditional medicine, is gradually entering the global consciousness. Despite achieving legal status in some regions, TCM still faces numerous challenges in its international development. Cultural differences are one of the main obstacles, as different cultural backgrounds lead to varying understandings of TCM concepts and practices. Furthermore, TCM lacks a unified standardization system, making it difficult to integrate its diagnostic and treatment methods with the modern medical system, hindering its widespread international recognition and application. Domestically, the research and application of TCM are gradually integrating with modern science and technology, demonstrating new vitality. The application of modern biotechnology enables more in-depth and precise analysis of TCM components, helping to improve the quality and efficacy of TCM. At the same time, the application of information technology has improved the accessibility and efficiency of TCM services, such as providing TCM consultation and diagnosis and treatment services through online platforms. However, the modernization and internationalization of TCM in China is still in its exploratory stage, requiring further innovation and practice to promote its development. In summary, TCM currently has the following shortcomings:

[0004] Insufficient quantification and standardization have directly affected the evaluation and international recognition of the therapeutic effects of traditional Chinese medicine, making it difficult to achieve accurate evaluation of therapeutic effects; the international promotion of traditional Chinese medicine is limited, and it lacks global recognition and application; the education and popularization of traditional Chinese medicine are insufficient, and the public's understanding and trust in it are not high. Summary of the Invention

[0005] The purpose of the present invention is to provide a health management system that combines traditional Chinese medicine and artificial intelligence to solve the problems proposed in the above background technology, such as the understanding barriers caused by cultural differences in the traditional Chinese medicine health management method, the need for cross-cultural communication and exchange, the lack of standardized and normalized industry standards, and the lack of scientific verification, which require more clinical trials and research support.

[0006] To this end, the present invention provides a health management system that combines traditional Chinese medicine with artificial intelligence, including a traditional Chinese medicine knowledge database, an image symptom analysis system, an intelligent customer service language model, and a medication recommendation and personalized customization system;

[0007] The Traditional Chinese Medicine knowledge database is used to integrate information resources in the field of Traditional Chinese Medicine; the image symptom analysis system is used to process patient images and generate disease analysis models; the intelligent customer service language model is used to provide users with personalized health consultation and advice; the medication recommendation and personalized customization system is used to combine image recognition results, search for disease names in the database, and generate medication recommendations.

[0008] Preferably, the traditional Chinese medicine knowledge database includes a data collection and processing unit, a data enhancement and standardization processing unit, an association table design unit, a query optimization and label management unit, a database construction unit and a performance optimization unit.

[0009] Preferably, the image data in the commonly asked TCM image dataset is unified into 512×512 pixels and saved in PNG format to retain details, including four major categories of common symptoms, namely: skin lesion category, tongue image category, fundus image category and oral pharynx category.

[0010] Preferably, the image symptom analysis system includes a data set construction unit, an image classification unit, a model selection unit, a training iteration unit and an evaluation unit; the data set construction unit is used to collect symptom pictures and group them, and construct a training set, a validation set and a test set with labels; the image classification unit is used to classify images; the model selection unit is used for image processing and identification of related symptoms; the training iteration unit adopts softmax regression and optimization algorithms, trains the model through the training set, and uses the validation set to adjust parameters to prevent overfitting or underfitting; the evaluation unit is used to evaluate the model performance through methods such as accuracy, recall rate, F1 value and cross-validation.

[0011] Preferably, the model selection unit performs image processing to identify relevant symptoms in the following specific steps:

[0012] (1) The improved convolutional neural network model is used to process the affected area images of the patients, including grayscale conversion and image denoising, to highlight the symptom feature points of the affected area;

[0013] (2) Determine the characteristic indicators based on the relevant symptoms of different organ locations, add a global average pooling layer to perform pooling operations on the image, and obtain an output vector with the same number of categories;

[0014] (3) Adding a loss function and using mini-batch stochastic gradient descent to update the parameters to achieve optimization in the calculation process, ultimately obtaining a disease analysis model;

[0015] (4) Use the data in the validation picture set to analyze the accuracy of the model, and further optimize the algorithm and update the picture set based on the accuracy.

[0016] Preferably, the intelligent customer service large language model includes a functional module, a React framework, a SpringBoot framework, and a MySQL server;

[0017] The functional modules include user management unit, health consultation unit, appointment management unit, health data analysis unit and personalized recommendation unit; the React framework includes page container unit, common components and UI components; the SpringBoot framework includes file management unit, API document unit, scheduled task unit, log unit and communication unit; the MySQL server includes connection module, user module, query cache module, query optimizer, table change module, table maintenance module, replication module, status module, access control module, table management module and storage engine module.

[0018] Preferably, the user management unit is used for user registration, login and personal information management; the health consultation unit is used to understand the user's health consultation needs through natural language processing technology and provide corresponding suggestions; the appointment management unit is used for users to make appointments with doctors online and check the appointment status; the health data analysis unit is used to collect and analyze the user's health data, including heart rate, body temperature and blood pressure data, and provide health trend analysis; the personalized suggestion unit is used to provide personalized health suggestions based on the user's health data and consultation history;

[0019] The connection module is used to manage client connection requests, including authentication and connection pool management; the user module is used to handle user permissions and access control; the query cache module is used to cache query results; the query optimizer is used to optimize SQL queries; the table change module is used to handle changes in table structure, including adding and deleting columns; the table maintenance module is used to perform table maintenance operations; the replication module is used to handle data replication and supports master-slave replication architecture; the status module is used to record server status information; the access control module is used to further control user access rights to the database; the table management module is used to manage the table structure in the database; the storage engine is used to interact with the underlying data storage and supports multiple storage engines.

[0020] Preferably, the UI component is used to design a consultation interface for a large model, and the interface includes a side navigation bar and a main operation area; the side navigation bar is located on the left side of the interface, and is used to provide a quick access entrance to the main functional modules of the system; the main operation area is located on the right side of the interface, and is used by users to perform specific operations.

[0021] Preferably, the medication recommendation and personalized customization system includes a user registration and personal information management unit, a personalized health assessment unit, a personalized health plan unit, an online consultation unit and a user communication community unit; the user registration and personal information management unit is used to improve and update the user's personal information; the personalized health assessment unit is used to use the Chinese medicine constitution identification theory to conduct a preliminary health assessment based on the personal information filled in by the user and generate a treatment plan; the personalized health plan unit is used to recommend a tailored health plan to the user based on the health assessment results; the online consultation unit is used for users to conduct one-on-one consultations with professional Chinese medicine practitioners to obtain more detailed treatment suggestions; the user communication community unit is used for users to share health experiences and treatment experiences.

[0022] Preferably, the specific steps of generating the treatment plan are:

[0023] Recommendation of Chinese medicine prescriptions: Based on the patient's constitution, the system automatically recommends appropriate Chinese medicine prescriptions;

[0024] Lifestyle adjustment: recommend appropriate diet, rest and exercise plans for each patient;

[0025] Long-term monitoring and dynamic adjustment: Regularly monitor the patient's health data including heart rate, blood sugar, and blood pressure data, and dynamically adjust the treatment plan based on the monitoring results;

[0026] Contraindications: Based on the patient's physical condition and historical health data, possible incompatibility and adverse reactions will be reminded.

[0027] The present invention proposes a health management system that combines traditional Chinese medicine with artificial intelligence, which has the following beneficial effects:

[0028] The system has built a brand-new database of Traditional Chinese Medicine (TCM) knowledge, achieving comprehensive digitization of TCM knowledge. The database not only contains a wealth of information on Chinese medicinal materials, prescriptions, diseases, and symptoms, but also uses data mining technology to achieve in-depth integration and intelligent retrieval of TCM knowledge. It can also provide personalized medication recommendations based on the user's detailed personal health records, ensuring that each recommendation is based on the user's constitution, medical history, and specific symptoms, thereby improving treatment effectiveness and enhancing user experience.

[0029] It can quickly analyze symptom images uploaded by users, accurately identify pathological features, and match them with TCM knowledge in the database to arrive at a possible disease diagnosis. Combined with an intelligent dialogue system, it provides 24 / 7 online consultation services. Users can communicate with the AI ​​assistant in natural language to obtain professional advice and answers tailored to their health conditions. This promotes the modernization and intelligentization of TCM services and explores new paths for the inheritance and development of TCM.

[0030] The user interface design is simple, intuitive and easy to operate, allowing users to easily obtain the services they need. It provides a transparent privacy policy and user agreement, clearly informing users of how their data is used and the protection measures, thereby enhancing users' trust in the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is the main framework diagram of the health management system of the present invention;

[0032] Figure 2 This is a framework diagram of the improved convolutional neural network of the present invention;

[0033] Figure 3 This is a schematic diagram of the structure of the intelligent dialogue language model of the present invention

[0034] Figure 4 This is a flow chart of the question-answering model of the present invention;

[0035] Figure 5 This is the intelligent customer service function module of the present invention;

[0036] Figure 6 This is the React framework diagram of the present invention;

[0037] Figure 7 This is the SpringBoot framework diagram of the present invention;

[0038] Figure 8 This is a diagram of the MySQL server framework of the present invention;

[0039] Figure 9 This is a flowchart of the personalized health assessment of the present invention. DETAILED DESCRIPTION

[0040] The technical solution of the present invention is described in detail below through specific embodiments.

[0041] Example:

[0042] See also Figure 1-9 , the present invention provides a health management system that combines traditional Chinese medicine and artificial intelligence, including a traditional Chinese medicine knowledge database, an image symptom analysis system, an intelligent customer service language model, and a medication recommendation and personalized customization system;

[0043] The Traditional Chinese Medicine knowledge database is used to integrate information resources in the field of Traditional Chinese Medicine; the image symptom analysis system is used to process patient images and generate disease analysis models; the intelligent customer service language model is used to provide users with personalized health consultation and advice; the medication recommendation and personalized customization system is used to combine image recognition results, search for disease names in the database, and generate medication recommendations.

[0044] See Figure 1The Traditional Chinese Medicine (TCM) knowledge database covers images of medicinal materials, descriptions of medicinal properties, classifications of efficacy, and images of affected areas corresponding to typical symptoms. A training set of over 50,000 images was constructed, including an image dataset of four common symptoms frequently asked in TCM consultations.

[0045] Table 1 shows the four common symptoms

[0046]

[0047] A three-level cascaded deep learning architecture is adopted, consisting of a feature extraction network, a lesion localization network, and a hierarchical prediction network. The input layer receives a three-channel symptom image; performs feature extraction and extracts multi-scale feature maps; for lesion localization, candidate regions are generated based on the attention-guided YOLOv5 architecture; feature fusion cross-layer feature pyramid realizes multi-granularity information exchange; hierarchical prediction: a dual-branch network completes pathology classification and severity assessment; the output layer returns lesion coordinates, pathology type, and quantitative score.

[0048] See Figure 3 、 Figure 4 、 Figure 5 、 Figure 6 、 Figure 7 and Figure 8 The system adopts a front-end and back-end separated architecture design, using the React framework for the front-end and the SpringBoot framework for the back-end. The database uses MySQL to store user information and health data, and uses Elasticsearch for full-text search and recommendations. React applications are composed of components, which can be divided into page containers, common components, and UI components. Page containers represent application pages, including the home page and login page. Common components are components reused in multiple pages, including buttons and input boxes. UI components are the UI elements that make up the page, including cards and lists.

[0049] The SpringBoot framework includes a file management unit and a file transfer protocol for transferring files over the network; an API documentation unit for generating, describing, calling, and discovering RESTful Web services; a scheduled task unit, which is the Spring framework's scheduled task module, for scheduling tasks; and a log unit for recording log information; communication units include RabbitMQ and WebSocket: RabbitMQ is an open source message broker software for implementing message queues; WebSocket provides a full-duplex communication channel; the MySQL server includes a connection module, a user module, a query cache module, a query optimizer, a table change module, a table maintenance module, a replication module, a status module, an access control module, a table management module, and a storage engine module.

[0050] Based on the architecture of the Elasticsearch distributed search and log collection system, the system uses MongoDB to store structured data, uses a Graylog server to collect log data, and sends the data to the Elasticsearch cluster for indexing and searching. The Elasticsearch cluster leverages its distributed nature to achieve efficient data storage, indexing, and search capabilities. The entire system uses the HSF framework for service calls, ensuring high availability and scalability.

[0051] See Figure 9 The medication recommendation and personalized customization system includes user registration and personal information management units, which support users to register and log in through email, mobile phone or social media account; provide a complete personal information entry interface, including but not limited to age, gender, height, weight, occupation, lifestyle habits, such as eating preferences, exercise habits, sleep quality, past medical history, family medical history, etc.; allow users to update personal information at any time to maintain the accuracy and timeliness of the data; enter the permission processing of symptom pictures; link mobile phones, electronic watches and other Bluetooth devices; family association system, family members can share information. Information sharing mechanism: implement the logic of information sharing to ensure that family members can share information safely; privacy protection: strengthen privacy protection measures during the information sharing process to ensure that user information is not accessed without authorization. Front-end display: design an intuitive user interface to display family member information and shared content

[0052] The personalized health assessment module includes the Eight-Principle Syndrome Differentiation, which encompasses four basic principles: yin and yang, exterior and interior, cold and heat, and deficiency and excess. This serves as the general framework for TCM syndrome differentiation. Based on user-provided information such as symptoms and signs, a preliminary diagnosis can be made regarding the syndrome type. TCM Constitution Classification: TCM categorizes constitutions into nine major categories: balanced constitution, qi deficiency, yang deficiency, yin deficiency, phlegm-dampness, damp-heat, blood stasis, qi stagnation, and special constitution. Each constitution has unique physiological characteristics and disease susceptibility. The system makes a preliminary assessment of the user's constitution type based on user-provided information, such as lifestyle, dietary habits, physical condition, and common symptoms. A constitution identification scale and assessment report are designed, containing a series of questions related to TCM constitutions. After the user completes the scale, the system uses the results and TCM constitution theory to make a preliminary assessment of the user's constitution type and generates a constitution identification report. The report should include content such as constitution type, constitution characteristics, disease tendency, and regulation rules; combined with modern health data analysis technology, it will assess the user's physiological age, metabolic level, immunity and other key health indicators. The specific steps are as follows:

[0053] Data collection: Integrate data provided by hospitals, clinics, physical examination centers, disease control centers, maternal and child health centers, scientific research institutions, and health-related companies.

[0054] Extract key features related to physiological age, metabolic level, immunity, etc. from massive data.

[0055] Learn the basic processes and techniques of data mining, including data preprocessing, feature selection, pattern recognition, etc.;

[0056] Personalized health plan unit: including diet adjustment, exercise suggestions, work and rest adjustment, etc., providing daily health care plans such as Chinese herbal tea and medicinal food, and detailed introduction of the efficacy, applicable population and precautions of each plan. Support users to set reminder functions, such as timed reminders to drink water, take medicine, exercise, etc.

[0057] Personalized treatment plan recommendations: For users with specific health needs, such as patients with chronic diseases and sub-healthy people, we provide personalized treatment plan recommendations based on TCM syndrome differentiation and treatment. Treatment plans include but are not limited to traditional TCM treatment methods such as Chinese herbal prescriptions, acupuncture, cupping, scraping, as well as necessary modern medical advice.

[0058] Other services include push notifications, which provide scheduled reminders such as drinking water, taking medication, and exercising; encouraging users to share their health experiences and treatment tips, fostering a positive and uplifting wellness atmosphere; and providing health science articles written by professional Chinese medicine practitioners to enhance users' health awareness and self-management skills.

[0059] Community unit for household exchange

[0060] In this embodiment, the treatment plan is generated taking into account the patient's constitution, symptoms, and health monitoring data. The following are the specific steps:

[0061] Traditional Chinese Medicine (TCM) prescription recommendations: The system automatically recommends appropriate TCM prescriptions based on the patient's constitution. For example, for patients with Qi deficiency, Qi-tonifying herbs like Astragalus and Ginseng are recommended; for patients with Yang deficiency, Yang-warming herbs like Aconite and Cinnamon are recommended.

[0062] Lifestyle adjustments: We recommend a suitable diet, daily routine, and exercise plan for each patient. For example, patients with a phlegm-damp constitution need to control fat and sugar in their diet and increase aerobic exercise.

[0063] Long-term monitoring and dynamic adjustment: The system regularly monitors the patient's health data (such as blood sugar and blood pressure) and dynamically adjusts the treatment plan based on the monitoring results.

[0064] The platform stores all health data in the cloud and provides data sharing functions, but it must follow strict privacy protection policies. Patients can authorize specific doctors or medical institutions to view their health data to ensure that personal privacy is not leaked; AES encryption algorithm and RSA asymmetric encryption are used to protect patients' sensitive data (such as health data, personal information, etc.); at the same time, the system implements role permission management to ensure that users can only access data they have permission to view; the platform integrates with patients' real-time health data through smart devices, monitors patients' health changes in real time, and automatically adjusts Chinese medicine recommendations based on changes. For example, the system will automatically reduce the use of sugar-containing Chinese medicine based on real-time blood sugar data.

[0065] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A health management system that combines traditional Chinese medicine with artificial intelligence, characterized by: Including a traditional Chinese medicine knowledge database, an image symptom analysis system, an intelligent customer service language model, and a medication recommendation and personalized customization system; The Traditional Chinese Medicine (TCM) knowledge database integrates information resources in the field of TCM. The image symptom analysis system processes patient images and generates symptom analysis models. The intelligent customer service language model provides users with personalized health consultations and recommendations. The medication recommendation and personalized customization system is used to combine image recognition results, search for disease names in the database, and generate medication recommendations.

2. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 1, characterized in that: The traditional Chinese medicine knowledge database includes a data collection and processing unit, a data enhancement and standardization processing unit, an association table design unit, a query optimization and label management unit, a database construction unit and a performance optimization unit; The data collection and processing unit is used to crawl oral Chinese medicine prescription data, medicinal material image data, medicinal property description data, efficacy classification data and affected area image data corresponding to typical diseases from the Chinese medicine prescription database, the National Medical Master Collection, HowNet and Wanfang as data sources, establish a Chinese medicine corpus, and pre-process the data to integrate and eliminate duplication of the corpus; the data enhancement and standardization processing unit is used to process the image data and construct a Chinese medicine commonly asked image data set, and the processing methods include spatial transformation, color perturbation, mixed enhancement, cropping and lesion simulation; the association table design unit is used to associate the relationship between diseases, symptoms, Chinese medicinal materials and prescriptions; the query optimization and label management unit is used to add labels to entries in the knowledge base, establish association relationships, combine unified retrieval and single database retrieval, and optimize search results and retrieval fields; the database construction unit and the performance optimization unit are used to build a database environment, set access permissions, encrypt storage and regularly back up data, and perform performance monitoring and optimization.

3. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 2, characterized in that: The image data in the commonly asked TCM image dataset are uniformly 512×512 pixels and saved in PNG format to retain details. It includes four major categories of common symptoms: skin lesion category, tongue image category, fundus image category and oral pharynx category.

4. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 1, characterized in that: The image symptom analysis system includes a data set construction unit, an image classification unit, a model selection unit, a training iteration unit, and an evaluation unit; the data set construction unit is used to collect symptom images and group them, and construct a labeled training set, a validation set, and a test set; the image classification unit is used to classify images; and the model selection unit is used to process images and identify related symptoms. The training iteration unit uses softmax regression and optimization algorithms to train the model through the training set and adjust the parameters using the validation set to prevent overfitting or underfitting; the evaluation unit is used to evaluate the model performance through methods such as accuracy, recall rate, F1 value and cross-validation.

5. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 4, characterized in that: The specific steps of the model selection unit performing image processing and identifying relevant symptoms are as follows: (1) The improved convolutional neural network model is used to process the affected area images of the patients, including grayscale conversion and image denoising, to highlight the symptom feature points of the affected area; (2) Determine the characteristic indicators based on the relevant symptoms of different organ locations, add a global average pooling layer to perform pooling operations on the image, and obtain an output vector with the same number of categories; (3) Adding a loss function and using mini-batch stochastic gradient descent to update the parameters to achieve optimization in the calculation process, ultimately obtaining a disease analysis model; (4) Use the data in the validation picture set to analyze the accuracy of the model, and further optimize the algorithm and update the picture set based on the accuracy.

6. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 1, characterized in that: The intelligent customer service language model includes functional modules, React framework, SpringBoot framework and MySQL server; The functional modules include user management unit, health consultation unit, appointment management unit, health data analysis unit and personalized recommendation unit; the React framework includes page container unit, common components and UI components; the SpringBoot framework includes file management unit, API document unit, scheduled task unit, log unit and communication unit; the MySQL server includes connection module, user module, query cache module, query optimizer, table change module, table maintenance module, replication module, status module, access control module, table management module and storage engine module.

7. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 6, characterized in that: The user management unit is used for user registration, login and personal information management; the health consultation unit is used to understand the user's health consultation needs through natural language processing technology and provide corresponding suggestions; The appointment management unit is used for users to make appointments with doctors online and check the appointment status; The health data analysis unit is used to collect and analyze the user's health data, including heart rate, body temperature and blood pressure data, and provide health trend analysis; the personalized recommendation unit is used to provide personalized health recommendations based on the user's health data and consultation history; The connection module is used to manage client connection requests, including authentication and connection pool management; the user module is used to handle user permissions and access control; the query cache module is used to cache query results; The query optimizer is used to optimize SQL queries; the table change module is used to handle changes to the table structure, including adding and deleting columns; the table maintenance module is used to perform table maintenance operations; the replication module is used to handle data replication and supports the master-slave replication architecture; the status module is used to record server status information; The access control module is used to further control user access rights to the database; the table management module is used to manage the table structure in the database; the storage engine is used to interact with the underlying data storage and supports multiple storage engines.

8. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 7, characterized in that: The UI component is used to design a consultation interface for a large model, which includes a side navigation bar and a main operation area; the side navigation bar is located on the left side of the interface and is used to provide a quick access entrance to the main functional modules of the system; the main operation area is located on the right side of the interface and is used by users to perform specific operations.

9. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 1, characterized in that: The medication recommendation and personalized customization system includes a user registration and personal information management unit, a personalized health assessment unit, a personalized health plan unit, an online consultation unit, and a user communication community unit; The user registration and personal information management unit is used to complete and update the user's personal information; the personalized health assessment unit is used to conduct a preliminary health assessment based on the personal information entered by the user and apply the theory of Traditional Chinese Medicine constitution identification to generate a treatment plan; the personalized health plan unit is used to recommend a tailored health plan for the user based on the health assessment results; The online consultation unit is used for users to have one-on-one consultations with professional Chinese medicine practitioners to obtain more detailed treatment suggestions; The user communication community unit is used for users to share health experiences and treatment experiences.

10. The health management system combining traditional Chinese medicine and artificial intelligence according to claim 9, characterized in that: The specific steps of generating the treatment plan are: Recommendation of Chinese medicine prescriptions: Based on the patient's constitution, the system automatically recommends appropriate Chinese medicine prescriptions; Lifestyle adjustment: recommend appropriate diet, rest and exercise plans for each patient; Long-term monitoring and dynamic adjustment: Regularly monitor the patient's health data including heart rate, blood sugar, and blood pressure data, and dynamically adjust the treatment plan based on the monitoring results; Contraindications: Based on the patient's physical condition and historical health data, possible incompatibility and adverse reactions will be reminded.

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