Traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data

Abstract

The invention discloses a traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data, and relates to the technical field of traditional Chinese medicine informatization, and the system comprises a multi-source data collection and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit. The built-in functions of the multi-source data acquisition and integration unit comprise data sources and data integration, the data sources comprise clinical medical record data, health monitoring data, ancient medical registration literature data and modern medical examination data, and the data integration comprises data cleaning, data standardization and data fusion; the built-in functions of the big data analysis and mining unit comprise disease and syndrome type correlation analysis, prescription curative effect evaluation and optimization, personalized health management analysis and medicine research and development auxiliary analysis, and the operation steps of the disease and syndrome type correlation analysis comprise feature extraction, machine learning modeling and model evaluation and optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of traditional Chinese medicine medical informatization, and specifically provides a traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data. Background Art

[0002] With the improvement of people's living standards, more and more people begin to pay attention to their health status and have a stronger awareness of health care. After retrieval, a health management system based on big data is disclosed in a Chinese patent with the authorized publication number CN116913514A, which relates to the technical field of big data. The system includes: a health data collection module configured to obtain the health data of users and send the health data to a health data analysis module and a health data visualization module; a health data analysis module configured to determine the physical condition information of users based on a pre-trained neural network model according to the health data of users and send the physical condition information of users to a health data management module and a health data visualization module; a health data management module configured to determine health protection measures according to the health data of users when the physical condition information is in a sub-healthy state and send the health protection measures to the visualization module. In this way, the physical condition information of users can be predicted through a pre-trained neural network model, and corresponding health protection measures can be taken.

[0003] However, in the traditional traditional Chinese medicine diagnosis and treatment mode, traditional Chinese medicine practitioners mainly rely on their long-term accumulated clinical experience, the reserve of traditional Chinese medicine theoretical knowledge, and the intuitive judgment of patients' symptoms to make diagnoses and prescribe prescriptions. This method has many limitations: on the one hand, the experience and levels of different traditional Chinese medicine practitioners vary greatly, resulting in possible large differences in diagnosis and treatment results and making it difficult to achieve the standardization and normalization of diagnosis and treatment; on the other hand, for complex or rare diseases, traditional Chinese medicine practitioners may have difficulty making accurate judgments due to insufficient experience. At the same time, a large amount of data such as clinical medical records, ancient medical literature, and folk prescriptions have been accumulated in the field of traditional Chinese medicine, but these data are scattered and lack effective integration and analysis and utilization. Summary of the Invention

[0004] The purpose of the present invention is to provide a traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data to solve the problems raised in the above background art.

[0005] By adopting the above technical solutions, the accuracy and efficiency of traditional Chinese medicine diagnosis and treatment are improved, and personalized health management is realized.

[0006] In view of the above problems, the technical solution proposed by the present invention is:

[0007] A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data, the system includes a multi-source data collection and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit.

[0008] The built-in functions of the multi-source data collection and integration unit include data source and data integration. Among them, data sources include clinical medical record data, health monitoring data, ancient medical literature data, and modern medical test data. Secondly, data integration includes data cleaning, data standardization, and data fusion;

[0009] The built-in functions of the big data analysis and mining unit include disease and syndrome type correlation analysis, prescription efficacy evaluation and optimization, personalized health management analysis, and drug R & D auxiliary analysis. Among them, the operation steps of disease and syndrome type correlation analysis are feature extraction, machine learning modeling, model evaluation and optimization. The operation steps of prescription efficacy evaluation and optimization are prescription data collection, establishment of efficacy evaluation indicators, big data analysis, and prescription optimization. The operation steps of personalized health management analysis are individual feature analysis, health risk assessment, and personalized plan formulation. The operation steps of drug R & D auxiliary analysis are potential target mining, active ingredient screening, and drug action mechanism research;

[0010] The built-in functions of the intelligent diagnosis and treatment and health management service unit include intelligent assisted diagnosis, generation of personalized health management plans, and health status tracking and adjustment. The workflow of intelligent assisted diagnosis is diagnostic model construction, human-computer interaction interface design, verification and adjustment of diagnostic results. The workflow of generating personalized health management plans is plan generation algorithm, plan review and optimization, plan push and tracking. The workflow of health status tracking and adjustment is real-time data monitoring, status evaluation and warning, and dynamic plan adjustment.

[0011] As a preferred technical solution of the present invention, clinical medical record data: collect the medical record information of patients in various traditional Chinese medicine hospitals, clinics and other medical institutions, including symptom description, diagnosis result, treatment plan, medication record, and efficacy feedback; health monitoring data: use wearable devices, including smart bracelets, smart watches, portable pulse condition detectors, and tongue image acquisition devices, to collect the physiological index data of patients in real time, including heart rate, blood pressure, pulse condition characteristics, and tongue image; ancient medical literature data: digitize and organize traditional Chinese medicine classic ancient books, works of medical experts in past dynasties, medical cases, etc.; modern medical test data: integrate the blood routine, biochemical indexes, and imaging examination data of patients, including CT and MRI test data.

[0012] As a preferred technical solution of the present invention, data cleaning: clean the collected original data to remove duplicate, incorrect, and incomplete data records; data standardization: establish unified data standards and specifications, and perform format conversion and encoding unification on data from different sources; data fusion: adopt data integration technology to fuse the cleaned and standardized data into a unified big data platform, and form a complete, multi-dimensional patient health data model by establishing the correlation relationship between data.

[0013] As a preferred technical solution of the present invention, feature extraction: Extract features related to diseases and syndromes from the integrated patient data, such as symptom features, physical sign features, and laboratory examination features; Machine learning modeling: Use machine learning algorithms including decision trees, support vector machines, and neural networks to construct a disease-syndrome association model. At the same time, through training on a large number of labeled case data, let the model learn the internal association patterns between diseases and different syndromes; Model evaluation and optimization: Use methods such as cross-validation to evaluate the constructed model, and optimize and adjust the model according to the evaluation results. Finally, achieve accurate judgment of the traditional Chinese medicine syndrome type to which the patient belongs through data such as the patient's symptoms and physical signs.

[0014] As a preferred technical solution of the present invention, prescription data collection: Collect various prescription information used clinically, including prescription composition, dosage, applicable diseases, and clinical application cases; Establishment of efficacy evaluation indicators: Determine the indicators for evaluating the efficacy of prescriptions, including symptom improvement rate, changes in laboratory indicators, and improvement in patient quality of life; Big data analysis: Use big data analysis technology to compare and analyze the efficacy of different prescriptions in different diseases and different populations, and explore the relationships between prescription efficacy and factors such as drug composition, dosage, and patient individual differences, and find out the key factors affecting prescription efficacy; Prescription optimization: Optimize and adjust the existing prescriptions according to the analysis results.

[0015] As a preferred technical solution of the present invention, individual feature analysis: Comprehensively analyze the patient's basic information, including age, gender, constitution, health monitoring data, disease history, and living habits, construct a personalized health record for the patient, and deeply understand the patient's individual characteristics and health needs; Health risk assessment: Use big data and artificial intelligence algorithms to assess the possible health risks that the patient may face in the future; Personalized plan formulation: According to the results of individual feature analysis and health risk assessment, formulate a personalized health management plan for the patient, including dietary conditioning suggestions, exercise plans, emotional regulation methods, and traditional Chinese medicine health care measures.

[0016] As a preferred technical solution of the present invention, potential target mining: By comprehensively analyzing traditional Chinese medicine ancient literature, clinical medical record data, and modern medical research results, potential drug targets related to traditional Chinese medicine syndromes are mined, and combined with big data analysis technology, targets with therapeutic potential are screened out to provide a direction for the research and development of new traditional Chinese medicine drugs; active ingredient screening: Analyze various ingredients in traditional Chinese medicine prescriptions, use big data mining technology, and combine clinical efficacy data to screen out active ingredients with therapeutic effects on specific syndromes. At the same time, study the interaction relationships between active ingredients to provide a basis for optimizing the composition of prescriptions and developing new traditional Chinese medicine preparations; research on the mechanism of action of drugs: With the help of big data and artificial intelligence technologies, deeply study the mechanism of action of traditional Chinese medicine and explain how traditional Chinese medicine exerts its therapeutic effects by regulating the physiological and pathological processes of the human body.

[0017] As a preferred technical solution of the present invention, diagnostic model construction: Based on the results of the correlation analysis between diseases and syndromes, combined with the expert experience and clinical knowledge of traditional Chinese medicine diagnosis, an intelligent auxiliary diagnosis model is constructed; human-computer interaction interface design: Develop a simple and easy-to-use human-computer interaction interface to facilitate traditional Chinese medicine practitioners to input patient information and view diagnostic suggestions; verification and adjustment of diagnostic results: The results given by the intelligent auxiliary diagnosis model are only for reference by traditional Chinese medicine practitioners, and traditional Chinese medicine practitioners can verify and adjust the diagnostic results according to their own clinical experience and further understanding of the patient.

[0018] As a preferred technical solution of the present invention, solution generation algorithm: According to the results of personalized health management analysis, use intelligent algorithms to automatically generate personalized health management solutions; solution review and optimization: The generated health management solutions are reviewed by professional traditional Chinese medicine practitioners and health managers to ensure the scientificity and rationality of the solutions; solution push and tracking: Push the personalized health management solutions to patients through mobile applications and text messages, and provide detailed solution descriptions and guidance.

[0019] As a preferred technical solution of the present invention, real-time data monitoring: Through wearable devices and data regularly uploaded by patients, real-time monitor the health status of patients, including changes in physiological indicators and improvement of symptoms; status assessment and early warning: According to the real-time monitored data, use big data analysis and artificial intelligence algorithms to assess the health status of patients; dynamic adjustment of solutions: According to the health status assessment results and the feedback information of patients, professionals dynamically adjust the health management solutions.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: Through multi-source data collection and integration, combined with big data analysis and artificial intelligence technologies, the big data-based traditional Chinese medicine intelligent diagnosis and treatment and health management system explores the correlations between diseases and syndromes, provides more accurate diagnostic references for traditional Chinese medicine practitioners, and reduces misdiagnosis and missed diagnosis caused by insufficient experience; The intelligent assisted diagnosis system can quickly give diagnostic suggestions, saving the diagnostic time of traditional Chinese medicine practitioners. Especially when facing a large number of patients, it can significantly improve the diagnosis and treatment efficiency; According to the individual characteristics and health needs of patients, personalized health management plans are formulated, providing precise health preservation guidance, which helps to improve the health level and quality of life of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 FIG. is a schematic framework diagram of a big data-based traditional Chinese medicine intelligent diagnosis and treatment and health management system provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] Please refer to Figure 1, the present invention provides a technical solution: a Chinese medicine intelligent diagnosis and treatment and health management system based on big data. The system includes a multi-source data collection and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit. The built-in functions of the multi-source data collection and integration unit include data source and data integration. Among them, the data sources include clinical case data, health monitoring data, ancient medical literature data, and modern medical test data. Secondly, the data integration includes data cleaning, data standardization, and data fusion; the built-in functions of the big data analysis and mining unit include disease and syndrome type correlation analysis, prescription efficacy evaluation and optimization, personalized health management analysis, and drug research and development assistance analysis. Among them, the operation steps of the disease and syndrome type correlation analysis are feature extraction, machine learning modeling, model evaluation and optimization. The operation steps of the prescription efficacy evaluation and optimization are prescription data collection, efficacy evaluation index establishment, big data analysis, and prescription optimization. The operation steps of the personalized health management analysis are individual feature analysis, health risk assessment, and personalized plan formulation. The operation steps of the drug research and development assistance analysis are potential target mining, active ingredient screening, and drug action mechanism research; the built-in functions of the intelligent diagnosis and treatment and health management service unit include intelligent assisted diagnosis, personalized health management plan generation, and health status tracking and adjustment. The work process of the intelligent assisted diagnosis is diagnosis model construction, human-computer interaction interface design, diagnosis result verification and adjustment. The work process of the personalized health management plan generation is plan generation algorithm, plan review and optimization, plan push and tracking. The work process of the health status tracking and adjustment is real-time data monitoring, status evaluation and warning, and plan dynamic adjustment.

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] Embodiment 1

[0026] Application implementation of the system in a Chinese medicine clinic

[0027] Data collection stage

[0028] Clinical case data: In a certain Chinese medicine clinic, when a patient comes to see a doctor, the doctor will ask the patient in detail about symptoms, medical history, family medical history, etc., and enter this information into the electronic medical record module of the system. For example, for a patient suffering from insomnia, the doctor records symptoms such as difficulty falling asleep, easy waking up with dreams, accompanied by palpitations and dizziness, the fact that the patient has had high work pressure in the past month, and also learns that there is no relevant medical history in the patient's family.

[0029] Health monitoring data: Patients are equipped with portable pulse condition detectors and tongue image acquisition devices. When patients visit the doctor, the pulse condition detectors are used to collect pulse condition data, and the system automatically analyzes characteristics such as the frequency, rhythm, and strength of the pulse; the tongue image acquisition devices are used to take tongue image photos, and the system analyzes the color, texture, shape, etc. of the tongue image. For example, the pulse of this insomnia patient shows thready and weak, and the tongue image presents pale tongue with thin white coating.

[0030] Ancient medical literature data: A large number of sorted and annotated ancient medical literature are pre-stored in the system.

[0031] Modern medical examination data: If the patient has recently undergone modern medical examinations such as blood routine and biochemical indicators, the doctor enters the examination results into the system. The blood routine of this insomnia patient shows slightly low hemoglobin, indicating possible mild anemia.

[0032] Data integration and cleaning

[0033] The system integrates various types of collected data and removes duplicate and incorrect data through a data cleaning program. For example, check whether there are information entry errors in the electronic medical records, conduct quality assessment on pulse condition and tongue image data. If it is found that there are interferences during the collection of pulse condition data resulting in inaccurate data, re-collect. At the same time, standardize all data, unify the description of symptoms, units and formats of examination indicators, etc.

[0034] Big data analysis and mining

[0035] Disease and syndrome type correlation analysis: The system uses machine learning algorithms to analyze the integrated data. Through learning a large number of similar insomnia cases, it is found that the symptoms, pulse condition, tongue image, and modern medical examination results of this patient are highly correlated with the traditional Chinese medicine syndrome type of deficiency of both heart and spleen. The system analyzes that deficiency of both heart and spleen leads to insufficient qi and blood, inability to nourish the heart and calm the mind, thus resulting in symptoms such as insomnia.

[0036] Evaluation and optimization of the efficacy of prescriptions: The system screens out commonly used prescriptions for treating insomnia of the deficiency of both heart and spleen type from the prescription database, such as Guipi Decoction. At the same time, analyze the efficacy data of Guipi Decoction in clinical applications, and optimize the drug composition and dosage of Guipi Decoction according to the specific situation of this patient. Considering the patient's mild anemia, appropriately increase the dosage of drugs for tonifying blood.

[0037] Personalized health management analysis: Based on comprehensive information such as the patient's age, gender, occupation, and living habits, the system formulates a personalized health management plan for the patient. For this insomnia patient, it is recommended to eat more foods with the effect of strengthening the spleen and nourishing the heart, such as red dates, longans, and Chinese yams; in terms of exercise, it is recommended to take a half-hour walk or do yoga every day; in terms of emotional regulation, it is recommended that the patient relieve work pressure by listening to music, communicating with friends, etc.

[0038] Drug R & D Assistant Analysis: The system analyzes the drug components in Guipi Decoction to explore its potential mechanisms of action and active ingredients. By combining with the research results of modern medicine, it is found that certain drug components in Guipi Decoction may play a role in regulating the nervous system function and improving anemia, providing a reference for further research and development of new traditional Chinese medicines.

[0039] Intelligent Diagnosis and Treatment and Health Management Services

[0040] Intelligent Assistant Diagnosis: Based on the analysis results, the system provides assistant diagnosis suggestions for doctors, indicating that the patient has insomnia due to deficiency of both the heart and spleen, and gives the adjusted Guipi Decoction formula as a reference for the treatment plan. The doctor combines their own clinical experience to verify and adjust the diagnosis suggestions of the system, and finally determines the treatment plan.

[0041] Generation of Personalized Health Management Plan: The system automatically generates a detailed personalized health management plan, including specific suggestions on diet, exercise, emotional regulation, etc. This plan is pushed to the patient through a mobile application, and the patient can view and execute it at any time.

[0042] Health Status Tracking and Adjustment: During the treatment process, the patient regularly uploads their health data, such as sleep quality and heart rate, through wearable devices. The system monitors the patient's health status in real time. When it is found that the patient's sleep quality has not improved significantly, an early warning is issued in a timely manner. The doctor adjusts the treatment plan and health management plan based on the patient's feedback information and the system's monitoring data, such as increasing the drug dosage or adjusting the diet suggestions.

[0043] Example 2

[0044] Application and Implementation of the System in Large Traditional Chinese Medicine Hospitals

[0045] Data Collection Stage

[0046] Clinical Medical Record Data: Large traditional Chinese medicine hospitals receive a large number of patients every day, and doctors in each department enter the detailed information of the patients into the electronic medical record system of the system. Taking a patient with rheumatoid arthritis as an example, the doctor records the location and degree of joint pain, swelling, and stiffness of the patient, as well as information such as the attack frequency and treatment history of the disease.

[0047] Health Monitoring Data: The hospital equips the patient with professional health monitoring devices, such as wearable joint activity monitors, to monitor the range of motion and exercise intensity of the patient's joints in real time; regular pulse and tongue inspections are carried out to collect relevant data. The pulse of this rheumatoid arthritis patient is stringy and choppy, and the tongue manifestation is purple and dull tongue with ecchymosis.

[0048] Ancient medical literature data: The hospital's literature database is continuously updated and improved, covering more rare ancient medical books and modern TCM research results. Doctors can consult relevant literature at any time during the diagnosis process to provide theoretical support for diagnosis and treatment.

[0049] Modern medical examination data: Patients undergo comprehensive modern medical examinations, including blood routine, erythrocyte sedimentation rate, rheumatoid factor, joint imaging examinations, etc. The examination results are promptly entered into the system. The rheumatoid factor of this patient is positive, the erythrocyte sedimentation rate is accelerated, and joint imaging shows a narrowing of the joint space.

[0050] Data integration and cleaning

[0051] The hospital's data management team is responsible for integrating and cleaning a large amount of collected data. By establishing data cleaning rules and processes, the accuracy and integrity of the data are ensured. Duplicate medical record information, abnormal examination data, etc. are processed, and at the same time, the data entered by different departments is standardized and unified.

[0052] Big data analysis and mining

[0053] Disease and syndrome type correlation analysis: The system uses deep learning algorithms to analyze the data of patients with rheumatoid arthritis. Combining a large number of clinical cases and literature materials, it is determined that this patient belongs to the syndrome type of phlegm-stasis blocking collaterals. The analysis believes that the patient has suffered from a long illness and entered the collaterals, resulting in poor qi and blood circulation, leading to the mutual binding of phlegm and stasis, blocking the joint collaterals.

[0054] Prescription efficacy evaluation and optimization: The system screens out commonly used prescriptions for treating rheumatoid arthritis of the phlegm-stasis blocking collaterals type, such as Shentong Zhuyu Decoction. The efficacy of Shentong Zhuyu Decoction in different patient groups is evaluated, and according to the specific situation of this patient, such as age, constitution, disease severity, etc., the prescription is optimized and adjusted, adding drugs for resolving phlegm and dredging collaterals, promoting blood circulation and removing stasis.

[0055] Personalized health management analysis: Considering the patient's occupation and living environment, the system formulates a personalized health management plan for the patient. It is recommended that the patient avoid living in a damp and cold environment and pay attention to joint warmth; in terms of exercise, gentle exercises such as Taijiquan and Baduanjin are recommended; in terms of diet, reduce the consumption of raw, cold, and greasy foods, and eat more foods with the effect of promoting blood circulation and removing stasis, such as hawthorn and peach kernels.

[0056] Drug R & D assistance analysis: The system deeply analyzes the drug components in Shentong Zhuyu Decoction, combines modern medical research results, and explores its mechanism of action and potential effective components in treating rheumatoid arthritis. Through cooperation with scientific research institutions, further drug R & D experiments are carried out to provide a basis for developing more effective therapeutic drugs.

[0057] Intelligent diagnosis and treatment and health management services

[0058] Intelligent assisted diagnosis: The system provides doctors with detailed assisted diagnosis reports, including syndrome type judgment, treatment plan suggestions, and relevant literature basis. Doctors fully refer to the system's suggestions during the diagnosis process and make comprehensive judgments in combination with their own clinical experience to finally determine the treatment plan.

[0059] Generation of personalized health management plans: The system generates personalized health management plans and provides them to patients in the form of written reports and mobile application push notifications. At the same time, the hospital's health management staff provides patients with detailed plan interpretations and guidance to ensure that patients can execute them correctly.

[0060] Health status tracking and adjustment: During the treatment and rehabilitation process, patients go to the hospital for regular reexaminations and upload their health data and symptom changes through the mobile application. The system tracks the patient's health status in real time and adjusts the treatment plan and health management plan in a timely manner according to the patient's feedback and reexamination results. For example, when the patient's joint pain symptoms are relieved, the drug dosage is appropriately reduced and the intensity of the exercise plan is adjusted.

Claims

1. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data, characterized in that, The system includes a multi-source data acquisition and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit. The built-in functions of the multi-source data acquisition and integration unit include data source and data integration. Among them, the data sources include clinical medical record data, health monitoring data, ancient medical literature data, and modern medical examination data. Secondly, data integration includes data cleaning, data standardization, and data fusion. The built-in functions of the big data analysis and mining unit include disease and syndrome type correlation analysis, prescription efficacy evaluation and optimization, personalized health management analysis, and drug R & D auxiliary analysis. Among them, the operation steps of disease and syndrome type correlation analysis are feature extraction, machine learning modeling, model evaluation and optimization. The operation steps of prescription efficacy evaluation and optimization are prescription data collection, efficacy evaluation index establishment, big data analysis, and prescription optimization. The operation steps of personalized health management analysis are individual feature analysis, health risk assessment, and personalized plan formulation. The operation steps of drug R & D auxiliary analysis are potential target mining, active ingredient screening, and drug action mechanism research. The built-in functions of the intelligent diagnosis and treatment and health management service unit include intelligent assisted diagnosis, personalized health management plan generation, and health status tracking and adjustment. The workflow of intelligent assisted diagnosis is diagnosis model construction, human-computer interaction interface design, diagnosis result verification and adjustment. The workflow of personalized health management plan generation is plan generation algorithm, plan review and optimization, plan push and tracking. The workflow of health status tracking and adjustment is real-time data monitoring, status evaluation and early warning, and plan dynamic adjustment.

2. The traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, wherein, Clinical medical record data: Collect the medical record information of patients in traditional Chinese medicine hospitals and clinics at all levels, including symptom description, diagnosis result, treatment plan, medication record, and efficacy feedback. Health monitoring data: Use wearable devices, including smart bracelets, smart watches, portable pulse meters, and tongue image acquisition devices, to collect the physiological index data of patients in real time, including heart rate, blood pressure, pulse characteristics, and tongue image. Ancient medical literature data: Digitally process and organize traditional Chinese medicine classic ancient books, the works of medical experts in past dynasties, and medical records. Modern medical examination data: Integrate the test data of patients' blood routine, biochemical indicators, and imaging examinations, including CT and MRI.

3. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that, Data cleaning: Clean the collected original data to remove duplicate, incorrect, and incomplete data records. Data standardization: Establish unified data standards and specifications, and perform format conversion and encoding unification on data from different sources. Data fusion: Adopt data integration technology to fuse the cleaned and standardized data into a unified big data platform, and form a complete and multi-dimensional patient health data model by establishing the correlation relationship between data.

4. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, It is characterized in that feature extraction: Extract the features related to diseases and syndrome types from the integrated patient data, such as symptom features, physical sign features, and laboratory examination features. Machine learning modeling: Use machine learning algorithms including decision trees, support vector machines, and neural networks to construct a correlation model between diseases and syndromes. At the same time, through training on a large amount of labeled case data, let the model learn the internal correlation patterns between diseases and different syndromes; Model evaluation and optimization: Use the cross-validation method to evaluate the constructed model, and optimize and adjust the model according to the evaluation results. Finally, it is possible to accurately judge the traditional Chinese medicine syndrome type to which the patient belongs through the patient's symptom and sign data.

5. The Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that Prescription data collection: Collect various prescription information used in clinical practice, including prescription composition, dosage, applicable diseases, and clinical application cases; Establishment of efficacy evaluation indicators: Determine the indicators for evaluating the efficacy of prescriptions, including symptom improvement rate, changes in laboratory indicators, and improvement in the quality of life of patients; Big data analysis: Use big data analysis technology to compare and analyze the efficacy of different prescriptions in different diseases and different populations, and explore the relationships between the efficacy of prescriptions and factors such as drug composition, dosage, and patient individual differences, and find out the key factors affecting the efficacy of prescriptions; Prescription optimization: Optimize and adjust the existing prescriptions according to the analysis results.

6. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that, Individual characteristic analysis: Comprehensively analyze the patient's basic information, including age, gender, constitution, health monitoring data, disease history, and living habits, construct the patient's personalized health record, and deeply understand the patient's individual characteristics and health needs; Health risk assessment: Use big data and artificial intelligence algorithms to assess the possible health risks that patients may face in the future; Development of personalized plans: According to the results of individual characteristic analysis and health risk assessment, develop personalized health management plans for patients, including dietary regulation suggestions, exercise plans, emotional regulation methods, and traditional Chinese medicine health care measures.

7. The Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that, Potential target mining: Through the comprehensive analysis of traditional Chinese medicine ancient literature, clinical case data, and modern medical research results, mine potential drug targets related to traditional Chinese medicine diseases, and combine big data analysis technology to screen out potential therapeutic targets, providing directions for the research and development of new traditional Chinese medicine drugs; Screening of active ingredients: Analyze various ingredients in traditional Chinese medicine prescriptions, use big data mining technology, and combine clinical efficacy data to screen out active ingredients with therapeutic effects on specific diseases. At the same time, study the interaction relationships between active ingredients to provide a basis for optimizing prescription composition and developing new traditional Chinese medicine preparations; Research on drug action mechanisms: Rely on big data and artificial intelligence technologies to deeply study the action mechanisms of traditional Chinese medicine and explain how traditional Chinese medicine exerts its therapeutic effects by regulating the physiological and pathological processes of the human body.

8. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that Construction of diagnostic model: Based on the results of the correlation analysis between diseases and syndromes, combined with the expert experience and clinical knowledge of traditional Chinese medicine diagnosis, construct an intelligent auxiliary diagnosis model; Design of human-computer interaction interface: Develop a simple and easy-to-use human-computer interaction interface to facilitate traditional Chinese medicine practitioners to input patient information and view diagnostic suggestions; Verification and adjustment of diagnostic results: The results given by the intelligent auxiliary diagnosis model are for reference only by traditional Chinese medicine practitioners. Traditional Chinese medicine practitioners can verify and adjust the diagnostic results according to their own clinical experience and further understanding of the patient.

9. The Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that, Scheme generation algorithm: According to the results of personalized health management analysis, use intelligent algorithms to automatically generate personalized health management schemes; Scheme review and optimization: The generated health management schemes are reviewed by professional traditional Chinese medicine doctors and health management professionals to ensure the scientificity and rationality of the schemes; Scheme push and tracking: Push the personalized health management schemes to patients through mobile applications and text messages, and provide detailed scheme explanations and guidance.

10. A traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data according to claim 1, characterized in that, Real-time data monitoring: Through wearable devices and data regularly uploaded by patients, real-time monitor the health status of patients, including changes in physiological indicators and improvement of symptoms; Status assessment and early warning: According to the real-time monitored data, use big data analysis and artificial intelligence algorithms to assess the health status of patients; Dynamic scheme adjustment: According to the health status assessment results and feedback information from patients, professional personnel dynamically adjust the health management schemes.

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