1130results about "Alternative medicines" patented technology

The invention discloses a traditional Chinese medicine intelligent inquiry method and system based on a knowledge graph and medical case enhancement RAG, and the method comprises the following steps: collecting traditional Chinese medicine related data from a plurality of sources, and carrying out the data cleaning, formatting and standardization processing, and constructing a knowledge graph containing traditional Chinese medicine symptoms, disease causes, prescriptions, and the mutual relation of the symptoms, the disease causes, the prescriptions; expressing a knowledge structure in the graph in a triple form; searching a local sub-graph related to query based on query keyword extraction and generalization by utilizing a Leiden community detection algorithm; a mixed retrieval strategy is adopted, global search and local search are combined, recalled contents are sorted and scored, global and local retrieval results are fused, and a large language model is uniformly output. The system aims at improving the intelligent level and individuation ability of traditional Chinese medicine diagnosis, firstly, a knowledge graph covering entities such as traditional Chinese medicine theories, symptoms, pathogenesis and prescriptions and relationships of the entities is constructed, mass traditional Chinese medicine data are systematically integrated, deep understanding and semantic association of traditional Chinese medicine complex diagnosis and treatment logic are ensured, and the traditional Chinese medicine diagnosis and treatment efficiency is improved. Through deep combination of the structured knowledge base and the generated model, the diagnosis and treatment accuracy is improved, and the model fine tuning and updating cost is reduced.

The invention discloses an AI-based traditional Chinese medicine dialectical auxiliary diagnosis method and system and a medium thereof, and relates to the technical field of intelligent auxiliary diagnosis, and the method comprises the steps: collecting physiological monitoring data, tongue condition data and pulse condition signals of a patient, obtaining patient symptom information, mapping the patient symptom information to a preset traditional Chinese medicine pathogenesis classification model, and generating an initial symptom feature vector; calling a knowledge base containing traditional Chinese medicine prescription rules and compatibility medication taboo, performing data space-time alignment processing and dynamic combination calculation on the initial symptom feature vector, and generating a personalized candidate prescription set conforming to the traditional Chinese medicine compatibility taboo; according to dynamic combination calculation, a solution algorithm based on a constraint satisfaction problem is adopted, and multi-dimensional association rule matching is carried out in combination with the mapping relation between syndromes and modern medical symptoms; and outputting a prescription medication recommendation scheme containing traditional Chinese medicine compatibility, dosage and decoction methods based on the candidate prescription set. The method supports the formulation of an accurate personalized diagnosis and treatment scheme, and meets the requirements of high-quality traditional Chinese medicine personalized auxiliary diagnosis and treatment.

The invention relates to the technical field of cardiovascular disease treatment, and discloses a cardiovascular disease medical decision support method based on a large model, and the method comprises the steps: obtaining multi-modal cardiovascular disease medical data, constructing a multi-source heterogeneous data set, carrying out the preprocessing and feature fusion, and constructing a combined representation model based on the pre-training large model and the fusion of traditional and western medicine knowledge. And designing a hierarchical space-time diagram convolutional network to generate a dynamic physiological state code of the patient, and constructing a multi-target optimization decision tree to generate a treatment scheme containing western medicines, traditional Chinese medicine prescriptions and non-drug intervention. A federal learning framework is adopted to cooperatively train a local model, data security is guaranteed, a global model is optimized, and a curative effect attribution module is further arranged to correct decision deviation. According to the method, multi-modal data and traditional Chinese and western medicine knowledge are integrated, personalized treatment scheme generation is achieved, data safety is guaranteed, and the cardiovascular disease diagnosis and treatment level is improved.

The invention provides a traditional Chinese medicine physique dynamic change identification system. The system comprises a data acquisition module, a feature extraction module, a deep learning analysis module, a physique analysis and prediction module and a diagnosis report generation module. The data acquisition module is used for acquiring tongue image video streams, pulse condition waveforms and body surface infrared thermal imaging data and recording environment temperature and humidity, user behavior logs and medication information. The feature extraction module is used for extracting various feature data. And inputting the multi-dimensional data set into a deep learning analysis module, and calculating the transformation relation probability of the traditional Chinese medicine constitution types. The physique analysis and prediction module judges the current physique type based on the probability data and predicts the physique evolution trend in combination with historical data, and finally the diagnosis report generation module outputs a diagnosis report containing physique evolution analysis and conditioning suggestions. According to the method, multi-dimensional physiological, environment and behavior data can be integrated, dynamic identification of traditional Chinese medicine physique is realized, the accuracy of physique analysis is improved, and a personalized health management scheme is provided.

The invention discloses an illness state tracking management system and method based on a lingual face diagnosis instrument, and belongs to the technical field of traditional Chinese medicine tongue diagnosis and modern information technology fusion. The system comprises a multi-modal data acquisition module, a data processing and analysis module and an augmented reality visualization module; according to the method, illness state tracking is achieved through the steps of multi-modal data acquisition, data preprocessing and feature fusion, personalized digital twinborn model establishment, augmented reality visualization presentation and the like, multi-dimensional data such as tongue picture macroscopic features and tongue surface microorganism distribution can be integrated, dynamic association between the data is revealed, the health state and the intervention effect are visually displayed, and the method is suitable for being popularized and applied. The method is suitable for the fields of traditional Chinese medicine health management and chronic disease monitoring.

The invention discloses a traditional Chinese medicine nursing management system and method based on a cloud follow-up visit management platform, and belongs to the technical field of intelligent nursing. The management system comprises the following modules: a dynamic data acquisition module for acquiring physiological parameters, living habits and environmental data of a patient in real time and performing primary processing; the dynamic health archive construction module is used for constructing and continuously updating an individualized health archive of the patient based on the data collected in real time; the traditional Chinese medicine knowledge map and reasoning module depends on the traditional Chinese medicine nursing knowledge map and combines an intelligent reasoning technology to realize accurate traditional Chinese medicine syndrome differentiation and treatment analysis and automatically generate a personalized nursing scheme; the multi-dimensional patient feedback module is used for constructing a feedback mechanism fusing objective data, patient subjective feeling and medical care evaluation so as to extract key nursing effect information; and the nursing scheme iterative optimization module dynamically adjusts and optimizes the traditional Chinese medicine nursing scheme based on the feedback data, and realizes personalized and self-adaptive continuous improved nursing.

The invention discloses a traditional Chinese medicine recommendation method based on knowledge driving and a residual attention network, and the method comprises the following steps: S1, a data collection and cleaning module: obtaining prescription text data, executing a standardized process for symptoms and traditional Chinese medicine terms in the prescription text data, and dividing a data set after the standardized process is executed into a training set, a verification set and a test set; s2, an entity pre-training module: extracting symptom semantic features by using a Word2vec training model to extract the features of symptom entities in the prescription and obtain overall context semantic representation, constructing a traditional Chinese medicine attribute knowledge graph, and fusing the natural attribute features of the traditional Chinese medicine as external knowledge into a recommendation model; s3, a multi-graph construction and entity feature learning module: according to a co-occurrence relationship between the symptoms and the traditional Chinese medicines, constructing a symptom-traditional Chinese medicine isomerism graph (SHHG), a symptom-symptom isomerism graph (SSIG) and a traditional Chinese medicine-traditional Chinese medicine isomerism graph (HHIG); respectively extracting symptom features, traditional Chinese medicine features and interaction features from a symptom-traditional Chinese medicine isomeric graph (SHHG), a symptom-symptom isocomposition (SSIG) and a traditional Chinese medicine-traditional Chinese medicine isocomposition (HHIG) by using a graph attention neural network, and enhancing entity features by using a residual structure; the feature fusion and traditional Chinese medicine recommendation module is used for fusing symptom features and traditional Chinese medicine features extracted from a symptom-traditional Chinese medicine isomerism graph (SHHG), a symptom-symptom isomerism graph (SSIG) and a traditional Chinese medicine-traditional Chinese medicine isomerism graph (HHIG) to obtain final symptom features and traditional Chinese medicine features, and expressing the symptom features by using MLP to obtain a traditional Chinese medicine recommendation result. And finally recommending a proper traditional Chinese medicine set according to the given symptom set.

The invention discloses a traditional Chinese medicine prescription intelligent reasoning method and device and a medium, and relates to the cross technical field of artificial intelligence and the traditional Chinese medicine field. The method comprises the following steps: receiving patient diagnosis and treatment information submitted by a user, and constructing a corresponding multi-layer dynamic knowledge graph based on structured diagnosis and treatment information; positioning symptom nodes in the multilayer dynamic knowledge graph to calculate symptom feature vectors, and based on the symptom feature vectors, performing syndrome clustering analysis by using a preset syndrome-symptom causal inference network to determine to-be-analyzed syndromes with confidence greater than a preset threshold; and analyzing the to-be-analyzed syndromes through a preset treatment strategy generation network to generate a corresponding treatment strategy, and inputting the treatment strategy into the prescription generation model to determine a treatment prescription according with a monarch, minister, assistant and guide prescription principle.

The invention relates to the technical field of knowledge maps, in particular to a digital human knowledge map construction method for famous and old traditional Chinese medicine experience live inheritance, which comprises the following steps of: acquiring traditional Chinese medicine literature data, disassembling literatures sentence by sentence, cutting continuous statements into independent vocabulary units, and marking the grammatical effect of each vocabulary in the sentence; by analyzing a combination rule between adjacent vocabularies, multiple entities in a text are identified, and a literature entity set is generated. According to the method, through grammar labeling and context mode analysis, the accuracy and coverage of entity extraction are improved, and through combination of co-occurrence frequency and modification relation derivation, entity association interpretability and semantic network dimension optimization, dynamic weight calculation and attribute fusion, the self-adaptive optimization capability of the knowledge graph is achieved; according to the method, a matching degree calculation and closed-loop verification mechanism is adopted, the accuracy of clinical taboo recognition is improved, a term system and a dynamic evolution mechanism are structured, and a traditional Chinese medicine knowledge system considering deep semantic expression and persistent evolution is constructed.

The invention discloses a personalized rehabilitation plan generation method and system based on multi-modal data, and relates to the technical field of medical rehabilitation, and the method comprises the steps: obtaining physiological data, motion data and emotion and cognition data of a patient; preprocessing the physiological data, the motion data and the emotion and cognition data to obtain multi-modal fusion data; analyzing the multi-modal fusion data by adopting a pre-trained machine learning model, and determining the rehabilitation potential and demand of the patient to obtain an evaluation result; a personalized rehabilitation plan of a rehabilitation training type is automatically generated according to an evaluation result, and training parameters, psychological counseling and nutrition suggestions are generated according to the conditions of the patient. According to the personalized rehabilitation plan generation method and system based on the multi-modal data, accurate evaluation can be carried out according to the conditions of the patient, the personalized rehabilitation plan is generated, the rehabilitation efficiency of the patient can be improved, and it is ensured that the rehabilitation process is more scientific and efficient.

The invention discloses a multi-modal fusion-based traditional Chinese medicine recommendation method, system and device and a medium, and the method comprises the steps: constructing a heterogeneous graph according to a core representative object and preprocessed traditional Chinese medicine multi-modal data; inputting the heterogeneous graph into a graph neural network for data fusion to obtain traditional Chinese medicine multi-modal fusion data; constructing a knowledge graph based on the traditional Chinese medicine multi-modal fusion data to obtain a traditional Chinese medicine knowledge graph; segmenting the traditional Chinese medicine knowledge graph into sub-graphs processed by multiple agents according to the drug effect and the drug use safety, and obtaining a medicinal material sub-graph associated with a drug effect agent and a safety sub-graph associated with a safety agent; based on the medicinal material sub-graph and the safety sub-graph, collaborative iteration optimization is carried out through a medicinal material combination strategy and a medicinal material safety checking strategy to select medicinal materials, and an optimal compound recommended by the traditional Chinese medicine is obtained; and inputting the optimal compound into the fine-tuned large language model, and determining a target compound recommended by the traditional Chinese medicine. The accuracy of traditional Chinese medicine recommendation can be improved.

The invention discloses a traditional Chinese medicine famous prescription and operation multi-agent collaborative consultation method and system. The system comprises a medical case knowledge base module, an expert knowledge base module, a medicine knowledge base module, a pre-differentiation module, a multi-agent diagnosis module and the like. The method comprises the following steps: constructing structured experience medical case data, an expert experience knowledge graph and a traditional Chinese medicine knowledge graph knowledge base, carrying out mixed retrieval to carry out pre-differentiation, calling multi-agent consultation according to preliminary disease differentiation and syndrome types, and obtaining an expert diagnosis scheme for risk verification and prescription adjustment optimization. According to the invention, a multi-agent collaborative diagnosis technology is utilized, and a multi-agent architecture for simulating real traditional Chinese medicine consultation is constructed. A plurality of expert agents perform independent diagnosis and complement each other, so that the limitation of a single agent is avoided, and comprehensive and accurate diagnosis is provided. And in combination with expert experience knowledge graph and big language model reasoning, the system can flexibly differentiate symptoms according to the symptoms of the patient, accurately judge disease types and syndrome types, and improve the differentiation accuracy.

The invention discloses an intelligent traditional Chinese medicine quality detection method and system based on deep learning, and relates to the technical field of medicine health, a high-resolution industrial camera and a multispectral imager are used for collecting multi-angle RGB images and spectral images of different wavebands, and an oil cell aggregation area is identified based on the images. And multi-dimensional detection is carried out from the physical structure and microcellular level, so that the quality detection accuracy of the traditional Chinese medicine decoction pieces is guaranteed in multiple aspects. And deeply analyzing the distribution condition of the oil cells according to the identified oil cell aggregation region, and generating judgment information containing a distribution result and an acid range. The judgment information can accurately reflect the abnormal conditions of the to-be-detected traditional Chinese medicine decoction pieces distributed for the corresponding production places under the current batch, a more comprehensive and detailed basis is provided for traditional Chinese medicine quality evaluation, and through the analysis, the quality difference of the traditional Chinese medicine decoction pieces in different production places can be effectively distinguished, and a deterioration risk signal is generated according to a distribution result.

The invention discloses a construction method of a traditional Chinese medicine alert question-answering system based on a large language model. The method comprises the following steps: establishing a traditional Chinese medicine knowledge base; constructing a retrieval enhancement generation model PV-RAG oriented to drug alert, and training and optimizing the PV-RAG model by taking the traditional Chinese medicine knowledge base as a training set; the PV-RAG model comprises a retrieval module, a text extraction module, a query rewriting module and a generation module; and constructing an intelligent question and answer application end, and generating a traditional Chinese medicine alert answer according to a natural language question input by a user. According to the traditional Chinese medicine alert question-answering system based on the large language model and the retrieval enhancement generation technology, deep semantic understanding of traditional Chinese medicine literatures is achieved through the text embedding model, multi-source data such as traditional Chinese medicine specifications, traditional Chinese medicine classics and clinical research literatures are effectively integrated, and the traditional Chinese medicine alert question-answering system is established. And rich knowledge support is provided for traditional Chinese medicine alert questions and answers.

The invention relates to the technical field of traditional Chinese medicinal material identification, in particular to a traditional Chinese medicinal material intelligent identification and grading system based on deep learning, which integrates image acquisition, feature extraction, expression optimization, identification evaluation and origin traceability into a whole. Curvature, structure tensor and spectral features are extracted in combination with a differential geometry theory; constructing a Riemannian manifold representation space and performing isometric embedding dimension reduction optimization; identifying the types of the medicinal materials by using a deep convolutional neural network, and comparing with a standard model to evaluate the quality grade; the origin discrimination is realized based on the multi-scale feature comparison of geodesic distance, the category, quality and traceability information of the medicinal materials are comprehensively output, the surface visual features and internal component information of the traditional Chinese medicinal materials are comprehensively utilized through a multi-source data fusion technology, and the feature expression ability and discrimination precision of the recognition system are comprehensively improved.

The invention discloses a traditional Chinese medicine gynecological auxiliary diagnosis and treatment system based on an attention mechanism neural network, and relates to the field of intelligent traditional Chinese medicine gynecological diagnosis and treatment, and the system comprises the following steps: obtaining traditional Chinese medicine gynecological clinical manifestation multi-dimensional data of a patient, extracting multi-modal features, and carrying out cross-modal feature alignment and dynamic weight distribution based on multiple attention mechanisms. According to the traditional Chinese medicine gynecological auxiliary diagnosis and treatment system based on the attention mechanism neural network, symptoms-syndromes of traditional Chinese medicine gynecological diseases are described based on a composite syndrome type library and authoritative medical books through multi-modal features, and syndromes to which multiple attention mechanisms belong are dynamically identified; performing prescription-symptom attention matching according to the syndrome differentiation result, screening candidate prescriptions through multiple attention, and recommending dynamic addition and reduction of medicinal materials based on the physique bias of the patient; continuous monitoring data of a patient is collected, future pathological feature evolution is captured using multiple attention, future syndrome changes are predicted, and a health management scheme is generated.

The invention discloses a health monitoring system and method based on multi-sensor fusion. The system comprises a health index acquisition system used for acquiring various health index data through various sensors; the multi-modal data analyzing and processing system is used for analyzing and processing the obtained multi-modal health index data to generate sensing information and analyzing and processing different data to obtain corresponding health indexes; and the health index evaluation report system is used for generating a health index evaluation report according to the perception information. According to the system, multiple data sources including images, sign signals, voice interaction and the like are fused through multi-modal data, and comprehensive health assessment is achieved. Different from a traditional health monitoring system which only depends on a single signal, the system fuses various data and can provide a more comprehensive and detailed health analysis result. Four diagnosis methods of watching, smelling, asking and cutting in traditional Chinese medicine are creatively combined with a modern intelligent technology, and modern application of health monitoring is achieved.

The invention relates to the technical field of data acquisition, and discloses a laparoscopic postoperative rehabilitation data acquisition method and system based on a traditional Chinese medicine home platform. The method comprises the following steps: collecting multi-source rehabilitation data and carrying out traditional Chinese medicine syndrome differentiation analysis to obtain a rehabilitation index; inputting the rehabilitation index into an ARIMA model to predict a rehabilitation trend; discretizing the rehabilitation index to obtain a symbol, constructing a patient specificity matrix, calculating a Hamming distance to identify a rehabilitation mode, calculating an early warning index in combination with doctor intervention time, and generating a personalized rehabilitation risk assessment report. The technical problems that in existing laparoscopic postoperative rehabilitation monitoring, monitoring parameters are single, traditional Chinese medicine theoretical guidance is lacked, and rehabilitation schemes are insufficient in individuation are solved. Through multi-source rehabilitation data acquisition, traditional Chinese medicine syndrome differentiation analysis, ARIMA prediction model and patient specificity matrix construction, comprehensive monitoring, scientific prediction and personalized guidance of the rehabilitation condition of a patient are realized.

The invention relates to the technical field of data management, in particular to a visual data processing system applied to traditional Chinese medicine pediatrics. The system comprises the following modules: a data acquisition module used for acquiring a pediatric physiological time sequence data set; carrying out physiological event anchor point identification on the pediatric physiological time sequence data set to obtain a physiological event anchor point set; the time calibration module is used for performing noise suppression on the pediatric physiological time sequence data set according to the physiological event anchor point set to obtain a noise-suppressed physiological time sequence data set; performing time calibration on the noise suppression physiological time sequence data set to obtain a time correction physiological data set; the feature extraction module is used for extracting a tongue picture image set from the time correction physiological data set; and generating a tongue picture feature vector set based on the tongue picture image set. According to the method, the problem of dynamic association analysis caused by multi-dimensional sign data isomerism in traditional Chinese medicine pediatric clinical data processing can be effectively solved.

The invention provides a traditional Chinese medicine diagnosis and treatment decision method and system based on evidence, and relates to the technical field of diagnosis and treatment decision, and the method comprises the steps: obtaining patient information, screening evidence, classifying syndromes, generating a personalized treatment scheme, collecting feedback and monitoring reactions, quantifying the curative effect, and dynamically adjusting the scheme. The method is systematized and scientific, and has a good application prospect and popularization value. Through a feedback mechanism and multi-round iterative learning, the diagnosis and treatment scheme is continuously optimized, and it is ensured that the diagnosis and treatment scheme adapts to the change requirements of patients; and by utilizing statistical analysis, the interpretability of the model is enhanced, a doctor is helped to understand a decision process, and clinical confidence is improved.

The invention relates to a traditional Chinese medicine tongue diagnosis auxiliary diagnosis method and system fusing multiple characteristics of a tongue body, and belongs to the technical field of medical information and health data processing. Firstly, a BlendMask network is utilized to carry out tongue segmentation model training, an obtained tongue segmentation model is utilized to complete data segmentation, tongue shape analysis is carried out on a segmented tongue data set, whether the shape is normal or not is judged by calculating a tongue skew index, and a data set with the normal shape is utilized to input a feature extraction network to carry out classification training. And classifying the tongue body image by using a tongue body identification and classification model, carrying out further regional tongue color analysis on the tongue body with abnormal tongue color, and outputting the comprehensive health state of the patient by combining the tongue body form skew feature, the tongue body identification and classification and the regional tongue color analysis. According to the invention, comprehensive analysis is carried out from the aspects of tongue body morphology, color and regional tongue color, the accuracy of tongue diagnosis analysis is improved, and efficient diagnosis of organs is realized.

The invention discloses a traditional Chinese medicine rehabilitation diagnosis system based on a multi-modal knowledge graph and a large language model. The invention provides a traditional Chinese medicine rehabilitation diagnosis system based on a multi-modal knowledge graph and a large language model. The traditional Chinese medicine rehabilitation diagnosis system can be used for intelligent inquiry or clinical auxiliary diagnosis scenes. The invention provides a finer multi-modal data fusion and knowledge graph retrieval method aiming at the problem that multi-modal data in traditional Chinese medicine rehabilitation clinic is difficult to fully mine and utilize. Specifically, the method comprises the following steps: firstly, performing targeted preprocessing according to the characteristics of a tongue coating image and a pulse condition signal; then, the tongue coating and the pulse condition are fused on the feature level and aligned with the embedding of the knowledge graph. The embedded vectors are further used for retrieving related entities in a knowledge graph, so that more comprehensive and fine-grained medical knowledge related to tongue coating and pulse conditions is obtained, and the interpretability and reasoning ability of the model are enhanced.

The invention discloses a tongue picture image processing system for traditional Chinese medicine health-care physique detection. The tongue picture image processing system comprises a tongue picture image acquisition module, a self-adaptive color correction module, an image enhancement module and a database and analysis module, the acquisition module automatically adjusts illumination conditions through an ambient light sensor to ensure the consistency and stability of images; the adaptive color correction module adopts color space conversion and a standard color library to automatically correct color distortion in the collected tongue picture image; the image enhancement module enhances the tongue coating, crack and tooth mark key features of the tongue picture through sharpening and contrast adjustment, the database and analysis module analyzes through a standardized tongue picture data set and big data, the processing precision of the tongue picture image is effectively improved, and a more scientific and accurate auxiliary tool is provided for traditional Chinese medicine constitution detection.

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion and big data processing, in particular to a massive human tissue structure big data accurate identification method and system for traditional Chinese medicine acupuncture and moxibustion, and the system comprises a data fusion module, a knowledge graph module, a baseline model construction module, an effect prediction module, a remote monitoring module and a curative effect evaluation module. Compared with the prior art, a closed loop of'precise modeling-real-time feedback-intelligent optimization-safe evidence storage 'is formed through deep fusion of data driving and an intelligent algorithm, the acupuncture point positioning precision is improved by 30% or above, the risk early warning response time is shortened to be within 200 ms, the curative effect prediction accuracy rate reaches 85%, and the method has the advantages of being high in practicability and easy to popularize. Systematic technical support is provided for standardization and intellectualization of acupuncture treatment, and clinical safety and effectiveness are remarkably improved.

The invention relates to the technical field of artificial intelligence, and discloses a traditional Chinese medicine diabetes dry eye treatment difference evaluation system and method based on artificial intelligence, and the system comprises a four-diagnosis integrated module, a syndrome modeling module, an intelligent decision module, a curative effect feedback module, a knowledge base management module and a self-adaptive learning module. Multi-mode traditional Chinese medicine four-diagnosis data of tongue condition, pulse condition and eye diagnosis and modern physiological parameters of metabolic indexes are fused, a deep learning method is adopted for standardization processing, the problem that traditional Chinese medicine syndrome differentiation depends on subjective experience is solved, traditional Chinese medicine syndrome feature extraction of diabetes dry eye has objectivity and quantifiability, and the traditional Chinese medicine syndrome feature extraction efficiency is improved. The comprehensiveness and the accuracy of the diagnosis basis are improved; and the curative effect feedback module compares a prediction result with revival curative effect data in real time, and the knowledge base management module is linked to carry out case feature matching and strategy optimization, so that continuous optimization and long-term reliability of the treatment decision model are ensured.

The invention relates to the technical field of data processing, and discloses a data analysis method, system, terminal and medium based on a multi-modal traditional Chinese medicine large language model.The method comprises the steps that a historical tongue picture, historical voice information and historical text information of a target historical user are obtained, feature extraction is carried out, and the historical tongue picture, the historical voice information and the historical text information are obtained; obtaining a tongue picture feature vector, a sound feature vector and a syndrome feature vector; according to the tongue picture feature vector, the sound feature vector and the syndrome feature vector, performing model training on a created multi-modal big language training model to obtain a multi-modal traditional Chinese medicine big language model; and obtaining a to-be-analyzed tongue picture, to-be-analyzed voice information and to-be-analyzed text information of the target user, inputting the to-be-analyzed tongue picture, the to-be-analyzed voice information and the to-be-analyzed text information into the multi-modal traditional Chinese medicine large language model, and outputting a According to the invention, through collaborative fusion and analysis of a plurality of data modes such as tongue pictures, sound and inquiry, data analysis of a traditional Chinese medicine level can be carried out on related data of a user more comprehensively.

The invention discloses a traditional Chinese medicine physique intelligent migration identification method oriented to cross-regional crowd adaptation. According to the method, data of source region crowds are collected, feature fusion is carried out to obtain comprehensive physical feature representation, and the comprehensive physical feature representation is input into a trained physical recognition model to generate classification parameters. And extracting local feature representation by using small sample data of the target region crowd, and combining with the classification parameters to obtain initial cross-region mapping features. And performing difference decomposition on the initial mapping features, distinguishing region-independent shared features and region-related specific features, and generating cross-region adaptive features through alignment of the shared features and the source region comprehensive feature representation. And obtaining a cross-region physique identification result according to the cross-region adaptive features and the region specific features. The problem that the accuracy of an existing physique identification model in cross-region application is reduced is effectively solved, accurate adaptation under the small sample condition is achieved, and the generalization performance and the practical value of traditional Chinese medicine physique intelligent diagnosis are improved.

The invention relates to an auxiliary diagnosis and treatment method, device and equipment and a storage medium, and the method comprises the steps: verifying the quality of medical data through an intelligent matching mechanism, and generating a supplementary signal containing standardized guidance for unqualified image data in real time; a cross-modal fusion technology is adopted to integrate the tongue image, the pulse image, the image and the inspection data, and a comprehensive feature vector of a unified dimension is constructed; outputting correlation mapping of the traditional Chinese medicine syndromes and the western medicine diseases based on the pathological reasoning model, and generating a drug treatment scheme and a non-drug treatment scheme through a treatment scheme reasoning model; and finally, dynamically optimizing the dialectical logic parameters and the treatment weight parameters according to user feedback. The method solves the problems of difficulty in multi-source medical data fusion, one-sided diagnosis basis and lack of curative effect feedback closed loop, significantly improves the accuracy and adaptability of personalized diagnosis and treatment, and provides standardized intelligent support for traditional Chinese and western medicine combined diagnosis and treatment.

The invention provides an intelligent traditional Chinese medicine prescription processing and preparation system which integrates a prescription acquisition module, a medicinal material selection module, a dosage form analysis module, a dosage form decision module, an intelligent preparation module, an intelligent distribution module and the like. The system can receive traditional Chinese medicine prescriptions made by doctors in real time, intelligently recommend grades and production places of medicinal materials, analyze and display advantages and disadvantages of various suitable dosage forms, and allow patients to autonomously select dosage forms. And the intelligent preparation module adopts automatic equipment and an intelligent control technology, so that the accuracy and high efficiency of the preparation process are ensured. And the intelligent distribution module is responsible for safely and timely delivering the medicine to the patient. In addition, the system further has the functions of medicinal material producing area selection, intelligent medicine decocting, intelligent medicine sorting and the like, and the personalized and intelligent levels of traditional Chinese medicine prescriptions are further improved. Through comprehensive application of advanced technologies, full-chain intelligent management of traditional Chinese medicine prescriptions from issuing to preparation and distribution is realized, the efficiency and accuracy of traditional Chinese medicine preparation are improved, and individual requirements of patients are met.

The invention discloses a traditional Chinese medicine formula generation system based on artificial intelligence, and belongs to the technical field of traditional Chinese medicine formula generation, and the system comprises a user interaction module which is used for obtaining the body data information of a user; the feature extraction module is used for performing feature extraction on the body data information of the user to obtain a feature data set; the intelligent formula engine is used for constructing a neural network and inputting the feature data set into the neural network for calculation to obtain a traditional Chinese medicine formula; and the efficacy prediction module is used for constructing a machine learning model, evaluating the traditional Chinese medicine formula based on the machine learning model, and generating an optimized traditional Chinese medicine formula. According to the artificial intelligence traditional Chinese medicine formula generation system, the whole process operation from user input to formula generation, drug effect prediction, result evaluation and user feedback can be realized, and an efficient and accurate traditional Chinese medicine formula generation service is provided for the user.