Intelligent diagnosis method and system for gynecological diseases based on traditional Chinese medicine syndrome differentiation

Abstract

The present application relates to the technical field of traditional Chinese medicine intelligent diagnosis, and discloses a gynecological disease intelligent diagnosis method and system based on traditional Chinese medicine syndrome differentiation, which comprises a patient information and four-examination data acquisition module, a multi-source data preprocessing and feature extraction module, a multi-dimensional traditional Chinese medicine syndrome differentiation reasoning module, a traditional Chinese and western medicine combined diagnosis and treatment scheme generation module, a diagnosis and treatment record and follow-up management module, and comprises the following steps: S1, a patient information and four-examination data acquisition stage; S2, a multi-source data preprocessing and feature extraction stage; S3, a multi-dimensional traditional Chinese medicine syndrome differentiation reasoning stage; S4, a traditional Chinese and western medicine combined diagnosis and treatment scheme generation stage; and S5, a diagnosis and treatment record and follow-up management stage. The present application can provide comprehensive diagnosis auxiliary support for traditional Chinese medicine gynecologists, integrate traditional Chinese medicine classic theories and clinical experience, make up for the limitations of single physician experience, and improve the consistency and accuracy of traditional Chinese medicine gynecological syndrome differentiation.

Description

Technical Field

[0001] This invention relates to the field of intelligent diagnostic technology in traditional Chinese medicine, and in particular to an intelligent diagnostic method and system for gynecological diseases based on TCM syndrome differentiation. Background Technology

[0002] Traditional Chinese medicine gynecology, as an important branch of traditional Chinese medicine, has a unique theoretical system and clinical advantages in the diagnosis and treatment of gynecological diseases; Traditional Chinese medicine gynecological diagnosis mainly relies on the physician's personal experience and subjective judgment. The diagnosis results are easily affected by the physician's knowledge level, clinical experience and subjective factors. Moreover, the clinical experience of famous veteran Chinese medicine doctors is difficult to be standardized, inherited and widely promoted. With the development of medical information technology, various TCM intelligent diagnostic systems are gradually being applied in clinical practice. However, most existing systems are designed for general TCM diseases and lack specific optimization for the physiological and pathological characteristics of gynecological diseases, making it difficult to meet the actual needs of TCM gynecological clinical diagnosis and treatment. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent diagnostic method and system for gynecological diseases based on traditional Chinese medicine syndrome differentiation, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation includes a patient information and four diagnostic methods data collection module, a multi-source data preprocessing and feature extraction module, a multi-dimensional traditional Chinese medicine syndrome differentiation reasoning module, a traditional Chinese and Western medicine integrated diagnosis and treatment plan generation module, and a diagnosis and treatment record and follow-up management module.

[0005] As a further improvement to this technical solution: the patient information and four diagnostic methods data acquisition module includes a basic information input unit, a structured consultation generation unit, and a digital acquisition subsystem for the four diagnostic methods of traditional Chinese medicine.

[0006] As a further improvement to this technical solution: the TCM four diagnostic methods digital acquisition subsystem includes an inspection acquisition device, an auscultation and olfaction input unit, a palpation input unit, and a pressure input unit.

[0007] As a further improvement to this technical solution: the multi-source data preprocessing and feature extraction module includes a data standardization unit, a symptom terminology mapping unit, a tongue feature extraction unit, and a pulse feature extraction unit.

[0008] As a further improvement to this technical solution: the multi-dimensional TCM syndrome differentiation and reasoning module includes a TCM gynecology knowledge graph unit and a hybrid reasoning engine.

[0009] As a further improvement to this technical solution: the hybrid inference engine uses a dual-source confidence fusion formula to integrate the knowledge graph inference results and the machine learning inference results. The dual-source confidence fusion formula is as follows: ,in, Indicates the confidence level of the final dialectical result. The weight coefficients representing the reasoning results of a knowledge graph. The weight coefficients representing the results of machine learning inference. This represents the confidence level obtained from rule-based reasoning in the knowledge graph. This represents the confidence level obtained by the machine learning model. and The sum of is 1.

[0010] As a further improvement to this technical solution: the hybrid inference engine uses an individual difference correction formula to adjust the confidence level after fusion, and the individual difference correction formula is as follows: ,in, This indicates the revised level of dialectical confidence. This represents the correction factor for individual differences. The value range is from 0.8 to 1.2.

[0011] As a further improvement to this technical solution: the integrated traditional Chinese and Western medicine diagnosis and treatment plan generation module includes a Western medicine disease matching unit, a prescription recommendation unit, a traditional Chinese medicine preparation recommendation unit, an external treatment method recommendation unit, and a lifestyle guidance generation unit.

[0012] As a further improvement to this technical solution: the diagnosis and treatment record and follow-up management module includes a diagnosis and treatment record storage unit, a follow-up plan generation unit, an efficacy evaluation unit, and a model iteration unit.

[0013] A smart diagnostic method for gynecological diseases based on traditional Chinese medicine syndrome differentiation includes the following steps: S1. In the patient information and four diagnostic methods data collection stage, the patient's name, age, marital and reproductive history, past medical history, allergy history and family gynecological history are entered through the basic information entry unit. A gynecological special consultation questionnaire is generated through the structured consultation generation unit. The data collection of inspection, auscultation, palpation and massage is completed through the TCM four diagnostic methods digital collection subsystem. S2. In the multi-source data preprocessing and feature extraction stage, unstructured text is converted into structured TCM terminology through the data standardization unit, symptom keywords in the consultation content are extracted and mapped to TCM syndrome elements through the symptom term mapping unit, tongue image feature vector is generated through the tongue image feature extraction unit, and pulse image data is analyzed in the time domain and frequency domain and key feature parameters are extracted through the pulse image feature extraction unit. S3, Multi-dimensional TCM diagnostic reasoning stage: The preliminary diagnostic results and corresponding confidence scores are generated through the TCM gynecology knowledge graph unit. The preliminary results are corrected and optimized by the hybrid reasoning engine combined with the machine learning model. The final diagnostic results and the corrected confidence scores are obtained by the dual-source confidence fusion formula and the individual difference correction formula. S4, the stage of generating integrated Chinese and Western medicine diagnosis and treatment plans: matching corresponding Western medicine disease diagnosis suggestions through the Western medicine disease matching unit; generating comprehensive treatment plans through the prescription recommendation unit, Chinese patent medicine recommendation unit, and external therapy recommendation unit; and generating dietary conditioning, emotional regulation, and lifestyle guidance content through the life guidance generation unit. S5. In the stage of diagnosis and treatment record and follow-up management, the complete diagnosis and treatment records and physician annotations are stored in the diagnosis and treatment record storage unit. The follow-up plan generation unit sets up a follow-up plan based on the patient's condition and sends reminders. The efficacy evaluation unit compares the patient's diagnosis and treatment data before and after treatment. The model iteration unit optimizes the dialectical reasoning model using the accumulated diagnosis and treatment data.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention can provide comprehensive diagnostic support for TCM gynecologists, integrate classical TCM theories and clinical experience, make up for the limitations of single physician experience, improve the consistency and accuracy of TCM gynecological diagnosis, simplify the diagnosis and treatment process, improve clinical work efficiency, promote the standardized inheritance and widespread application of the clinical experience of renowned veteran TCM doctors, and alleviate the problem of insufficient TCM gynecological professionals in grassroots medical institutions.

[0015] 2. This invention can provide patients with personalized diagnosis and treatment services, fully consider the physiological characteristics of gynecological diseases and individual differences of patients, generate targeted treatment plans and health guidance, and realize the tracking and management of the entire diagnosis and treatment process through a comprehensive follow-up management mechanism. In addition, the system has the ability to iterate and optimize autonomously, and can continuously improve diagnostic performance based on the continuous accumulation of clinical data, thus promoting the digital and intelligent development of TCM gynecological diagnosis and treatment.

[0016] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Specific embodiments of the present invention are given in detail below with reference to the accompanying drawings. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1This is a schematic diagram of the structure of an intelligent diagnostic method and system for gynecological diseases based on traditional Chinese medicine syndrome differentiation. Detailed Implementation

[0018] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are for illustrative purposes only and are not intended to limit the scope of the invention. The invention is described more specifically in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the drawings are in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the illustration of the embodiments of the present invention.

[0019] Please see Figure 1 In this embodiment of the invention, the intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation includes a patient information and four diagnostic methods data acquisition module, a multi-source data preprocessing and feature extraction module, a multi-dimensional traditional Chinese medicine syndrome differentiation reasoning module, a traditional Chinese and Western medicine integrated diagnosis and treatment plan generation module, and a diagnosis and treatment record and follow-up management module. Specifically, the patient information and four diagnostic methods data acquisition module is used to obtain the basic information and raw data of the four diagnostic methods of traditional Chinese medicine required for diagnosis; The multi-source data preprocessing and feature extraction module is used to perform standardization processing and feature extraction on the collected multi-type data; The multi-dimensional TCM syndrome differentiation and reasoning module is used to reason and judge TCM syndromes based on processed data; The module for generating integrated traditional Chinese and Western medicine diagnostic and treatment plans is used to generate corresponding integrated traditional Chinese and Western medicine diagnostic results and personalized treatment plans. The medical record and follow-up management module is used to store medical data, execute follow-up plans, and continuously optimize the model.

[0020] The patient information and four diagnostic methods data collection module includes a basic information input unit, a structured consultation generation unit, and a digital collection subsystem for the four diagnostic methods of traditional Chinese medicine. Specifically, the basic information entry unit is used to enter the patient's basic personal information and medical history information; The structured consultation generation unit is used to generate specialized consultation questionnaires that conform to the standards of TCM gynecology diagnosis and treatment. The TCM Four Diagnostic Methods Digital Acquisition Subsystem is used to realize the digital acquisition of TCM four diagnostic methods data.

[0021] The digital data acquisition subsystem for the four diagnostic methods of traditional Chinese medicine includes an inspection data acquisition device, an auscultation data entry unit, a palpation data entry unit, and a massage data entry unit. Specifically, the visual diagnosis acquisition device is used to acquire high-definition image data of the patient's face and tongue; The auscultation and olfaction recording unit is used to record the patient's voice, breath odor, and vaginal odor information; The palpation entry unit is used to enter the pulse information of the patient in the three positions and nine pulse points of the cun, guan, and chi. The abdominal palpation input unit is used to input the results of abdominal palpation for patients.

[0022] The multi-source data preprocessing and feature extraction module includes a data standardization unit, a symptom terminology mapping unit, a tongue feature extraction unit, and a pulse feature extraction unit. Specifically, the data standardization unit is used to convert unstructured text data into standardized, structured TCM terminology. The symptom term mapping unit is used to extract symptom keywords from the consultation content and map them to the corresponding TCM syndrome elements. The tongue image feature extraction unit is used to process tongue images based on a deep learning model and generate tongue image feature vectors. The pulse feature extraction unit is used to perform time-domain and frequency-domain analysis on pulse data to extract key feature parameters of the pulse wave.

[0023] The multi-dimensional TCM diagnostic reasoning module includes a TCM gynecology knowledge graph unit and a hybrid reasoning engine; Specifically, the TCM gynecology knowledge graph unit is used to store basic TCM theories, classic gynecology works, clinical experience of famous veteran TCM doctors, and modern TCM gynecology research results. The hybrid reasoning engine combines knowledge graph rule reasoning with machine learning data reasoning to complete the TCM diagnosis process.

[0024] The hybrid inference engine uses a dual-source confidence fusion formula to integrate knowledge graph inference results with machine learning inference results. The dual-source confidence fusion formula is as follows: ,in, Indicates the confidence level of the final dialectical result. The weight coefficients representing the reasoning results of a knowledge graph. The weight coefficients representing the results of machine learning inference. This represents the confidence level obtained from rule-based reasoning in the knowledge graph. This represents the confidence level obtained by the machine learning model. and The sum of is 1; Specifically, the hybrid reasoning engine first generates preliminary diagnostic results and corresponding confidence levels based on rule-based reasoning using the TCM gynecology knowledge graph unit. Then, it corrects and optimizes the preliminary results based on massive clinical medical record data using a machine learning model. Finally, it integrates the two types of reasoning results using a dual-source confidence fusion formula. ,in, Indicates the confidence level of the final dialectical result. The weight coefficients representing the reasoning results of a knowledge graph. The weight coefficients representing the results of machine learning inference. This represents the confidence level obtained from rule-based reasoning in the knowledge graph. This represents the confidence level obtained by the machine learning model. and The sum of is 1; The formula is used to quantify the results of integrating knowledge graph reasoning and machine learning reasoning, balancing the rigor of rule-based reasoning with the adaptability of data-driven reasoning.

[0025] The hybrid inference engine uses an individual difference correction formula to adjust the confidence level after fusion. The individual difference correction formula is as follows: in, This indicates the revised level of dialectical confidence. This represents the correction factor for individual differences. The value range is from 0.8 to 1.2; Specifically, after obtaining the fused confidence level, the hybrid inference engine introduces an individual difference correction formula to adjust it in order to adapt to the individual characteristics of different patients; The formula for adjusting for individual differences is: ,in, This indicates the revised level of dialectical confidence. This represents the correction factor for individual differences. The value ranges from 0.8 to 1.2. The value is determined based on the patient's age, physical condition, and menstrual cycle stage; The formula is used to incorporate individual patient differences into the diagnosis process, thereby improving the relevance of the diagnosis results.

[0026] The integrated Chinese and Western medicine diagnosis and treatment plan generation module includes a Western medicine disease matching unit, a prescription recommendation unit, a Chinese patent medicine recommendation unit, an external treatment method recommendation unit, and a lifestyle guidance generation unit. Specifically, the Western medicine disease matching unit is used to match corresponding Western medicine disease diagnosis suggestions based on the results of traditional Chinese medicine syndrome differentiation; The prescription recommendation unit is used to recommend applicable Chinese herbal prescriptions based on the diagnosis results, and supports the addition or subtraction of prescriptions according to the symptoms; The traditional Chinese medicine recommendation unit is used to recommend suitable traditional Chinese medicines based on the results of syndrome differentiation; The external treatment recommendation unit is used to recommend external treatments such as acupuncture and moxibustion based on the results of syndrome differentiation. The lifestyle guidance generation unit is used to generate content on dietary regulation, emotional adjustment, and lifestyle guidance.

[0027] The medical record and follow-up management module includes a medical record storage unit, a follow-up plan generation unit, a efficacy evaluation unit, and a model iteration unit; Specifically, the medical record storage unit is used to store complete medical records and physician annotations; The follow-up plan generation unit is used to set up a follow-up plan based on the patient's condition and send follow-up visit reminders to the patient; The efficacy assessment unit is used to compare the patient's treatment data from multiple previous treatments to evaluate the treatment effect; The model iteration unit is used to continuously optimize the performance of the hybrid inference engine by utilizing accumulated clinical diagnosis and treatment data.

[0028] A smart diagnostic method for gynecological diseases based on traditional Chinese medicine syndrome differentiation includes the following steps: S1. In the patient information and four diagnostic methods data collection stage, the patient's name, age, marital and reproductive history, past medical history, allergy history and family gynecological history are entered through the basic information entry unit. A gynecological special consultation questionnaire is generated through the structured consultation generation unit. The data collection of inspection, auscultation, palpation and massage is completed through the TCM four diagnostic methods digital collection subsystem. S2. In the multi-source data preprocessing and feature extraction stage, unstructured text is converted into structured TCM terminology through the data standardization unit, symptom keywords in the consultation content are extracted and mapped to TCM syndrome elements through the symptom term mapping unit, tongue image feature vector is generated through the tongue image feature extraction unit, and pulse image data is analyzed in the time domain and frequency domain and key feature parameters are extracted through the pulse image feature extraction unit. S3, Multi-dimensional TCM diagnostic reasoning stage: The preliminary diagnostic results and corresponding confidence scores are generated through the TCM gynecology knowledge graph unit. The preliminary results are corrected and optimized by the hybrid reasoning engine combined with the machine learning model. The final diagnostic results and the corrected confidence scores are obtained by the dual-source confidence fusion formula and the individual difference correction formula. S4, the stage of generating integrated Chinese and Western medicine diagnosis and treatment plans: matching corresponding Western medicine disease diagnosis suggestions through the Western medicine disease matching unit; generating comprehensive treatment plans through the prescription recommendation unit, Chinese patent medicine recommendation unit, and external therapy recommendation unit; and generating dietary conditioning, emotional regulation, and lifestyle guidance content through the life guidance generation unit. S5. In the stage of diagnosis and treatment record and follow-up management, the complete diagnosis and treatment record and physician annotations are stored through the diagnosis and treatment record storage unit, the follow-up plan generation unit sets up the follow-up plan according to the patient's condition and sends reminders through the follow-up plan generation unit, the efficacy evaluation unit compares the patient's diagnosis and treatment data before and after, and the model iteration unit optimizes the dialectical reasoning model using the accumulated diagnosis and treatment data. Specifically, step S1 corresponds to the workflow of the patient information and four diagnostic methods data collection module, which sequentially completes basic information entry, gynecological consultation and traditional Chinese medicine four diagnostic methods data collection; Step S2 corresponds to the workflow of the multi-source data preprocessing and feature extraction module, which sequentially completes data standardization, symptom terminology mapping, tongue feature extraction, and pulse feature extraction. Step S3 corresponds to the workflow of the multi-dimensional TCM syndrome differentiation and reasoning module, which sequentially completes the initial reasoning of the knowledge graph, the correction of machine learning results, the fusion of dual-source confidence and the correction of individual differences. Step S4 corresponds to the workflow of the integrated Chinese and Western medicine diagnosis and treatment plan generation module, which sequentially completes the matching of Western medicine diseases, generation of comprehensive treatment plans, and generation of lifestyle guidance content. Step S5 corresponds to the workflow of the diagnosis and treatment record and follow-up management module, which sequentially completes the storage of diagnosis and treatment records, generation of follow-up plans, efficacy evaluation, and model iteration optimization.

[0029] The method of use and working principle of this invention are as follows: Usage: Physicians input patients' basic information and medical history into the system. The system automatically generates a specialized consultation questionnaire that conforms to the standards of TCM gynecology diagnosis and treatment. After completing the consultation, the physician guides the patient to conduct digital data collection for the four diagnostic methods of TCM. The system standardizes and extracts features from the collected multi-source data, and inputs the processed feature data into the multi-dimensional TCM syndrome differentiation and reasoning module. Through a hybrid reasoning engine, the system completes the reasoning and judgment of TCM syndromes. Based on the syndrome differentiation results, the system generates corresponding TCM and Western medicine diagnostic suggestions and personalized treatment plans. After confirmation by the physician, the complete diagnosis and treatment record is saved. The system automatically generates a follow-up plan based on the patient's condition and provides evidence for efficacy evaluation during follow-up visits. The accumulated diagnosis and treatment data is used to continuously optimize the system's syndrome differentiation and reasoning model.

[0030] Working principle: The system achieves intelligent diagnosis of TCM gynecological diseases through the collaborative work of multiple modules. First, the data acquisition module obtains the patient's basic information and raw data from the four diagnostic methods of TCM. The preprocessing module converts this data into unified structured data and extracts core diagnostic features. The diagnostic reasoning module combines rule-based reasoning from the TCM gynecological knowledge graph with data reasoning from machine learning. It integrates the two types of reasoning results through dual-source confidence fusion and incorporates individual differences to adapt to the physiological characteristics of different patients. Finally, it generates a diagnostic result and comprehensive treatment plan that combines TCM and Western medicine. At the same time, the follow-up management module collects clinical feedback data to achieve continuous iterative improvement of the system's diagnostic capabilities.

[0031] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Those skilled in the art can readily implement the present invention based on the description and drawings above. However, any modifications, alterations, and variations made by those skilled in the art without departing from the scope of the present invention using the disclosed technical content are equivalent embodiments of the present invention. Furthermore, any modifications, alterations, and variations made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the present invention.

Claims

1. A smart diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation, characterized in that: It includes a patient information and four diagnostic methods data collection module, a multi-source data preprocessing and feature extraction module, a multi-dimensional TCM syndrome differentiation and reasoning module, a TCM and Western medicine integrated diagnosis and treatment plan generation module, and a diagnosis and treatment record and follow-up management module.

2. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 1, characterized in that, The patient information and four diagnostic methods data acquisition module includes a basic information input unit, a structured consultation generation unit, and a digital acquisition subsystem for the four diagnostic methods of traditional Chinese medicine.

3. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 2, characterized in that, The TCM four diagnostic methods digital acquisition subsystem includes an inspection acquisition device, an auscultation and olfaction input unit, a palpation input unit, and a pressure input unit.

4. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 1, characterized in that, The multi-source data preprocessing and feature extraction module includes a data standardization unit, a symptom terminology mapping unit, a tongue feature extraction unit, and a pulse feature extraction unit.

5. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 1, characterized in that, The multi-dimensional TCM diagnostic reasoning module includes a TCM gynecology knowledge graph unit and a hybrid reasoning engine.

6. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 5, characterized in that, The hybrid inference engine uses a dual-source confidence fusion formula to integrate the knowledge graph inference results and the machine learning inference results. The dual-source confidence fusion formula is as follows: in, Indicates the confidence level of the final dialectical result. The weight coefficients representing the reasoning results of a knowledge graph. The weight coefficients representing the results of machine learning inference. This represents the confidence level obtained from rule-based reasoning in the knowledge graph. This represents the confidence level obtained by the machine learning model. and The sum of is 1.

7. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 6, characterized in that, The hybrid inference engine uses an individual difference correction formula to adjust the fused confidence level. The individual difference correction formula is as follows: in, This indicates the revised level of dialectical confidence. This represents the correction factor for individual differences. The value range is from 0.8 to 1.

2.

8. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 1, characterized in that, The integrated traditional Chinese and Western medicine diagnosis and treatment plan generation module includes a Western medicine disease matching unit, a prescription recommendation unit, a traditional Chinese medicine preparation recommendation unit, an external treatment method recommendation unit, and a lifestyle guidance generation unit.

9. The intelligent diagnostic system for gynecological diseases based on traditional Chinese medicine syndrome differentiation according to claim 1, characterized in that, The diagnosis and treatment record and follow-up management module includes a diagnosis and treatment record storage unit, a follow-up plan generation unit, a efficacy evaluation unit, and a model iteration unit.

10. A method for intelligent diagnosis of gynecological diseases based on traditional Chinese medicine syndrome differentiation, applied to the intelligent diagnosis system for gynecological diseases based on traditional Chinese medicine syndrome differentiation as described in any one of claims 1-9, characterized in that, Includes the following steps: S1. In the patient information and four diagnostic methods data collection stage, the patient's name, age, marital and reproductive history, past medical history, allergy history and family gynecological history are entered through the basic information entry unit. A gynecological special consultation questionnaire is generated through the structured consultation generation unit. The data collection of inspection, auscultation, palpation and massage is completed through the TCM four diagnostic methods digital collection subsystem. S2. In the multi-source data preprocessing and feature extraction stage, unstructured text is converted into structured TCM terminology through the data standardization unit, symptom keywords in the consultation content are extracted and mapped to TCM syndrome elements through the symptom term mapping unit, tongue image feature vector is generated through the tongue image feature extraction unit, and pulse image data is analyzed in the time domain and frequency domain and key feature parameters are extracted through the pulse image feature extraction unit. S3, Multi-dimensional TCM diagnostic reasoning stage: The preliminary diagnostic results and corresponding confidence scores are generated through the TCM gynecology knowledge graph unit. The preliminary results are corrected and optimized by the hybrid reasoning engine combined with the machine learning model. The final diagnostic results and the corrected confidence scores are obtained by the dual-source confidence fusion formula and the individual difference correction formula. S4, the stage of generating integrated Chinese and Western medicine diagnosis and treatment plans: matching corresponding Western medicine disease diagnosis suggestions through the Western medicine disease matching unit; generating comprehensive treatment plans through the prescription recommendation unit, Chinese patent medicine recommendation unit, and external therapy recommendation unit; and generating dietary conditioning, emotional regulation, and lifestyle guidance content through the life guidance generation unit. S5. In the stage of diagnosis and treatment record and follow-up management, the complete diagnosis and treatment records and physician annotations are stored in the diagnosis and treatment record storage unit. The follow-up plan generation unit sets up a follow-up plan based on the patient's condition and sends reminders. The efficacy evaluation unit compares the patient's diagnosis and treatment data before and after treatment. The model iteration unit optimizes the dialectical reasoning model using the accumulated diagnosis and treatment data.

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