280 results about "Syndrome differentiation" patented technology

The invention relates to the technical field of traditional Chinese medicine diagnosis and treatment, in particular to an Al-based traditional Chinese medicine diagnosis and treatment suggestion system, which comprises a traditional Chinese medicine constitution detection module used for collecting multi-dimensional traditional Chinese medicine physical sign data of a user; the AI physique analysis engine is used for outputting quantitative scores of yang-deficiency physique and yin-deficiency physique and a mixed physique analysis result; the personalized conditioning scheme generation module is used for forming dynamically adjustable personalized health suggestions; through a multi-modal data fusion technology, face diagnosis, tongue diagnosis, pulse diagnosis and inquiry data are subjected to collaborative analysis, and a deep learning model is combined with a traditional Chinese medicine knowledge graph for comprehensive differentiation, so that error interference of a single data source is effectively reduced, the accuracy of physique classification is improved, and a diagnosis result better fits the real physique condition of a user.

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 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 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 provides a large-model-driven traditional Chinese medicine curative effect multi-dimensional intelligent evaluation system and device, and relates to the technical field of traditional Chinese medicine curative effect intelligent evaluation. The system mainly comprises a data layer, a knowledge layer, a model layer and an application layer which are arranged in sequence; the data layer is used for collecting tongue images, pulse condition data, cardiovascular data, structured data, unstructured data and the like, and carrying out data treatment operations such as structured transformation, block chain evidence storage and abnormal value correction; the knowledge layer comprises a traditional Chinese medicine diagnosis and treatment knowledge map, a traditional Chinese medicine prescription compatibility relationship library, a curative effect evaluation standard library, a component-target network, a semantic mapping engine and a syndrome-treatment association map; the model layer comprises a multi-modal feature extraction module and a curative effect prediction module; the application layer comprises a doctor end and a patient end. According to the scheme, quantitative analysis of traditional Chinese medicine syndrome differentiation rules is realized through a large model, and the syndrome classification consistency of patients is improved.

The invention discloses a traditional Chinese medicine chronic disease dialectical treatment optimization method based on a graph neural network, and the method comprises the following steps: S1, collecting electronic medical record text data and traditional Chinese medicine knowledge data of a patient, and constructing an initial dialectical graph; s2, obtaining an initial feature vector of a node; s3, performing multi-order spiral perception processing by using a boa convolution unit, constructing a spiral adjacent path for each target node according to a structure depth and a relation direction, and introducing a structure position coding mode to perform sequential perception modeling on a node neighborhood relation to generate an adjacent feature matrix; s4, constructing a syndrome semantic tension matrix; s5, inputting the adjacency feature matrix and the syndrome semantic tension matrix into a GATv2 model to obtain a final node feature vector; and S6, outputting a syndrome type prediction result corresponding to the patient by using the final feature vector of the node, and generating prescription and drug path recommendation. According to the method, the GATv2 model and the boa convolution unit of structure perception are combined, so that traditional Chinese medicine chronic disease dialectical reasoning and drug recommendation are realized.

The invention belongs to the technical field of traditional Chinese medicine and software, and particularly relates to a traditional Chinese medicine syndrome differentiation aid decision-making method based on trans-modal attention Transform. The invention provides traditional Chinese medicine syndrome differentiation based on cross-modal attention Transform, and aims to explore a more scientific and systematic traditional Chinese medicine syndrome differentiation method by integrating multi-modal data such as visual sense, auditory sense, language, pulse condition and the like. Specifically, information such as complexion and tongue coating is obtained by inspection diagnosis through an image processing technology; the auscultation and diagnosis obtains sound information such as respiration and cough through a sound recognition technology; the inquiry analyzes the chief complaint and symptom description of the patient through a natural language processing technology; pulse condition data are collected through the sensor technology in the clinics. A multi-modal hierarchical dialectical logic framework is constructed, an exclusive attention mechanism is designed for each dialectical method, the overall view and dialectical thinking of traditional Chinese medicine are fully reflected, and a more reasonable dialectical result is generated.

The invention relates to the technical field of artificial intelligence and medical diagnosis, in particular to an intelligent diagnosis and dynamic optimization method combining traditional Chinese medicine and western medicine. The intelligent diagnosis and dynamic optimization method based on combination of traditional Chinese medicine and western medicine includes the steps that multi-modal data such as traditional Chinese medicine tongue picture images are collected and preprocessed, traditional Chinese medicine syndrome differentiation and western medicine disease models are input respectively, a supervision model group is distributed or a collaborative diagnosis mechanism is started according to model confidence, and a structured diagnosis report is generated through double verification. And obtaining a compliance diagnosis result through data processing, and dynamically adjusting a knowledge calling priority according to user feedback to obtain a calling result. According to the method, a complete closed loop of data acquisition, intelligent diagnosis, safety supervision and feedback optimization is constructed, the system is endowed with self-learning and self-adaptive capabilities while the precision, the safety and the compliance of combined diagnosis of traditional Chinese medicine and western medicine are improved, and an efficient and reliable technical path is provided for intelligent diagnosis and treatment of complex diseases.

The invention discloses an AI syndrome differentiation and treatment model system suitable for a multi-dimensional difference environment, which comprises a data integration layer and a three-cause characteristic processing and dynamic dialectical model, and is characterized in that the data integration layer comprises outpatient service data, hospitalization data, follow-up visit data, physical characteristics, pathogenesis solar terms / five-transportation six-qi and regional medicinal material relationships; the three-factor feature processing comprises human-factor feature processing, time-factor feature processing and place-factor feature processing; the dynamic dialectical model comprises multi-modal data fusion, three-factor weight dynamic allocation and curative effect correction syndrome reasoning. The syndrome differentiation accuracy of chronic epigastric pain patients reaches 89.2%, the clinical curative effect and acceptability of a treatment scheme are improved, the average iteration period of the model is shortened to 72 h through a feedback closed-loop system, the method deeply conforms to Chinese geographical population characteristics, and the method has the advantages of being high in adaptability and good in application prospect through an environment perception-physique evaluation-dynamic syndrome differentiation three-level linkage mechanism. Precise diagnosis and treatment of one person with one prescription at once is achieved, and core technical support is provided for modernization of traditional Chinese medicine.

The invention relates to the technical field of medical intellectualization, and discloses a traditional Chinese medicine pulse diagnosis digital system based on VR and AI technologies, which comprises a basic knowledge learning module, a machine analysis learning module and an inquiry training module, the basic knowledge learning module demonstrates eight elements including a pulse diagnosis origin, a pulse map / pulse condition forming mechanism, a pulse taking method and a pulse condition in a mode of combining animation, voice and / or image-text; the machine analysis learning module demonstrates the working principle of the pulse instrument and the pulse signal acquisition and analysis process in a mode of combining animation, voice and / or image-text; and the inquiry training module is used for simulating a pulse diagnosis medical scene between a doctor and a patient, and realizing traditional Chinese medicine clinical thinking training and examination of four-diagnosis combined reference and syndrome differentiation treatment in a man-machine online question and answer mode. The traditional Chinese medicine AI inquiry is combined with an artificial intelligence language large model, the traditional Chinese medicine clinical inquiry scene is highly restored, and students can freely train observation, smell and interrogation skills, four-diagnosis combined reference and syndrome differentiation decision-making thinking.

The invention discloses a traditional Chinese medicine five-tone treatment personalized music generation system based on a large language model and a construction method thereof. The invention designs a double-layer architecture technical route of firstly performing traditional Chinese medicine syndrome differentiation decision and then generating five-tone music. Meanwhile, according to the characteristics of traditional Chinese medicine syndrome differentiation treatment individuation and five-tone therapy accuracy, an intelligent syndrome differentiation engine based on a large language model and a five-tone music generation framework based on traditional music pre-training are provided, and the treatment thought of traditional Chinese medicine treatment based on syndrome differentiation and according to different persons is achieved through multi-dimensional health information fusion and a five-tone feature constraint mechanism. The technical problem of fusion of the traditional Chinese medicine theory and the modern AI technology is solved. The intelligent level and the individuation degree of the treatment scheme are remarkably improved while the theory integrity of the traditional Chinese medicine five-tone therapy is kept, and a complete technical solution is provided for modern application of traditional Chinese medicine music treatment.

The invention discloses a multi-modal traditional Chinese medicine insomnia differentiation method based on multi-task deep learning, which comprises the following steps: S1, collecting tongue images and clinical text symptoms of an insomnia patient, and respectively constructing a data set I and a data set II; s2, based on the data set I and the data set II, constructing and training a multi-mode traditional Chinese medicine insomnia differentiation model; and S3, inputting the standardized tongue picture image and the structured symptom vector of the patient into the multi-mode traditional Chinese medicine insomnia dialectical model to obtain a nine-classification result matched with the traditional Chinese medicine insomnia type. According to the method, tongue body segmentation, cross-modal representation construction, quality perception fusion and multi-task prediction can be automatically completed in actual deployment, and probability distribution of nine types of symptoms and a final conclusion are output on a symptom task.

The invention discloses a household traditional Chinese medicine robot which comprises a robot body, a face diagnosis acquisition module, a tongue diagnosis analysis module, an intelligent inquiry module, a pulse diagnosis detection module and a multi-modal data fusion center module. The system has the advantages that firstly, multi-mode traditional Chinese medicine diagnosis integration is achieved, intelligent fusion of four diagnosis modes of traditional Chinese medicine is achieved through collaborative analysis of face diagnosis, tongue diagnosis, pulse diagnosis and intelligent inquiry diagnosis, and the limitation of a traditional single diagnosis mode is broken through; 2, an accurate data acquisition technology: adopting advanced technologies such as five-color spectral imaging, tongue body dynamic tracking and a three-dimensional pulse pressure sensor to improve objectivity and accuracy of traditional Chinese medicine sign detection; and 3, dynamic personalized inquiry: based on the Bayesian network and the symptom knowledge graph, realizing real-time optimization of an inquiry path, and improving the dialectical efficiency. The method is suitable for household scenes, and the threshold of professional traditional Chinese medicine diagnosis is lowered.

The traditional Chinese medicine composition is prepared from the following raw material medicines in parts by weight: 12 to 15 parts of radix astragali seu hedysari, 12 to 15 parts of radix codonopsis, 10 to 13 parts of semen ziziphi spinosae, 8 to 15 parts of rhizoma chuanxiong, 10 to 15 parts of radix puerariae, 6 to 10 parts of rhizoma atractylodis macrocephalae, 5 to 10 parts of pericarpium citri reticulatae, 5 to 9 parts of ramulus cinnamomi, 3 to 8 parts of herba lycopi and 2 to 6 parts of folium ginkgo. The traditional Chinese medicine composition is prepared according to the principle of monarch, minister, assistant and guide under the guidance of traditional Chinese medicine syndrome differentiation and disease differentiation treatment theories, is mainly used for tonifying qi, promoting blood circulation to remove blood stasis, improving blood circulation and delaying cardiovascular aging, has the effects of soothing the nerves, nourishing sleep and improving the life quality of patients, and is safe in clinical application and free of side effects.

The invention provides a traditional Chinese medicine tongue diagnosis auxiliary diagnosis system based on artificial intelligence. The traditional Chinese medicine tongue diagnosis auxiliary diagnosis system comprises a tongue picture acquisition and preprocessing module, a tongue picture feature intelligent extraction module, a traditional Chinese medicine syndrome differentiation intelligent reasoning module and a diagnosis result integration and output module which are connected in sequence. Through multi-module cooperation and algorithm fusion, the pain points of traditional tongue diagnosis and an existing intelligent system are effectively solved.

The invention discloses a traditional Chinese medicine cold-heat deficiency-excess syndrome differentiation method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining the disease information of a patient, and determining the traditional Chinese medicine cold-heat deficiency-excess type of the patient; associating the traditional Chinese medicine cold-heat deficiency-excess type with the final heart rate variability characteristics, and constructing a training data set; constructing a traditional Chinese medicine cold-heat deficiency-excess syndrome differentiation model, and training the traditional Chinese medicine cold-heat deficiency-excess syndrome differentiation model based on the training data set to obtain an optimal traditional Chinese medicine cold-heat deficiency-excess syndrome differentiation model; and obtaining a to-be-detected face video of a to-be-detected patient, extracting to-be-detected final heart rate variability features corresponding to the to-be-detected face video, and inputting the to-be-detected final heart rate variability features into the optimal traditional Chinese medicine cold-heat deficiency-excess differentiation model to obtain an effect evaluation result corresponding to the to-be-detected patient. The problem that traditional Chinese medicine cold-heat deficiency-excess syndrome differentiation cannot be achieved in the prior art is solved.

The invention relates to the technical field of disease animal models, in particular to a construction method, an evaluation method and application of a bipolar affective disorder liver stagnation and spleen deficiency syndrome combined animal model. According to the method, a liver depression and spleen deficiency syndrome modeling method is adopted for model construction, evaluation indexes are formulated by combining manic and depression behavior expressions of mice and innovatively combining typical expressions of liver depression and spleen deficiency, a liver depression and spleen deficiency syndrome animal model evaluation method is explored, and a thought is provided for achieving standardization and normalization of liver depression and spleen deficiency syndrome model evaluation. The modeling method is simple and economical, provides an experimental animal model for syndrome differentiation treatment of diseases, particularly provides a corresponding animal model for traditional Chinese medicine syndrome differentiation treatment and new drug pharmacological experiments, accelerates the progress of traditional Chinese medicine disease syndrome research and new drug development, provides technical service for drug evaluation, and has great application value.

The invention relates to the technical field of adaptive control, in particular to a syndrome differentiation adaptive control system for intelligent traditional Chinese medicine treatment equipment, which comprises an environmental parameter acquisition unit for acquiring microenvironment parameters in real time and generating environmental compensation parameters; the moxibustion sense feedback input unit quantifies subjective moxibustion sense feedback of the patient; the syndrome differentiation and trend prediction unit is used for outputting dynamic syndrome type probability distribution and a syndrome evolution prediction sequence based on the traditional Chinese medicine knowledge graph; and the self-adaptive control decision unit is used for generating a final self-adaptive control instruction when the emergency safety condition is not triggered by integrating the environment compensation parameters, the moxibustion sense feedback, the syndrome type probability and the evolution prediction result. According to the system, three types of data sources are fused, a four-stage serial correction architecture is adopted, and multi-stage regulation and control are automatically completed in a treatment cycle, so that equipment is not out of alignment due to environmental fluctuation, downshift is performed no longer after scalding, and prescription change is performed no longer after symptom transformation, and therefore, temperature control precision improvement and manual intervention return-to-zero can be realized.

The invention provides a holographic inspection information enhancement method, system and device based on DPO and RAG, and relates to the technical field of holographic inspection information enhancement, and the method comprises the steps: constructing a traditional Chinese medicine original corpus and a traditional Chinese medicine knowledge graph; generating a cold start data set from the traditional Chinese medicine original corpus through an external teacher model; on the basis of the cold start data set, performing supervised fine tuning training on the Qwen2.5 7B pre-training model to obtain a preliminary diagnosis model Model1; based on a new reasoning path generated by Model1, performing multi-dimensional quality evaluation in combination with an RAG mechanism to obtain a human preference comparison data set; performing optimization training on the Model1 through a DPO method based on a human preference comparison data set to obtain an optimization diagnosis model Model2; and carrying out backtracking correction on an output result of the Model2 in combination with an RAG mechanism. According to the scheme, the theoretical preciseness of training data is ensured through a dual data purification mechanism of sampling rejection and RAG enhancement; and a dynamically adjusted DPO algorithm is adopted to realize fine-grained alignment of traditional Chinese medicine syndrome differentiation logic.

The invention belongs to the technical field of intelligent medical treatment, and discloses a disease monitoring and diagnosis system for allergic rhinitis and asthma syndromes treated by traditional Chinese medicines. Comprising the steps of collecting a health portrait of a patient and traditional Chinese medicine diagnosis information and performing comprehensive differentiation to obtain a traditional Chinese medicine differentiation result; analyzing the health portrait of the patient, identifying abnormal medical indexes, performing disease diagnosis based on the abnormal medical indexes, and evaluating corresponding comprehensive clinical characterization to form a western medicine diagnosis result; performing cross validation on the traditional Chinese medicine differentiation result and the western medicine diagnosis result to obtain a comprehensive diagnosis result, and dynamically generating a personalized traditional Chinese medicine prescription in combination with the obtained patient personalized factors; environment perception factors are dynamically obtained, and the personalized traditional Chinese medicine prescription is intelligently optimized; the system provides full-process intelligent support for traditional Chinese medicine diagnosis and treatment of the allergic rhinitis and asthma syndrome, so that the diagnosis and treatment quality and the treatment effect are effectively improved, and a more scientific and effective traditional Chinese medicine treatment scheme is provided for patients.

The application provides a Chinese medicine compound preparation for preventing and treating respiratory tract infection of livestock and poultry, a preparation method and application, and relates to the technical field of animal medicine. The Chinese medicine compound preparation is composed of 10 Chinese medicines, i.e. honeysuckle, forsythia, inula flower, platycodon grandiflorum, euphorbia helioscopia, xiaochangqing, fresh eucalyptus globulus, fried stemona, cat's claw and augustifolia, follows the principle of Chinese medicine syndrome differentiation and treatment, is reasonably matched, and the medicines are coordinated with each other to increase the efficacy. The Chinese medicine compound preparation can significantly reduce the levels of TNF-alpha and IL-6 in serum, increase the level of IFN-gamma, obviously alleviate the clinical symptoms of livestock and poultry respiratory tract infection, reduce the mortality, has a good treatment effect on the related diseases of livestock and poultry respiratory tract infection, can improve the drug resistance of antibiotic drugs, reduce the drug residues of chemical agents in livestock and poultry, and guarantees the health of livestock and poultry and the safety of animal source food.

The invention relates to the technical field of medical information processing, in particular to a traditional Chinese medicine prescription intelligent generation method and system based on a syndrome-molecular map attention network. Comprising the steps of obtaining and preprocessing symptoms and syndrome sequence information of a patient; inputting the processed patient features into a physical sign time sequence sensing module to capture dynamic features of patient states changing along with time; extracting active ingredients and molecular characteristics of the herbal medicine by utilizing a herbal medicine ingredient encoder and a molecular map neural network; constructing a medical knowledge graph, and realizing multi-layer feature aggregation through a graph convolutional network; a cross attention mechanism and a dynamic gating fusion strategy are introduced, cross-modal alignment of molecular representation and relation representation is achieved, and herbal medicine recommendation probability distribution is output. According to the method, unified modeling can be achieved on the traditional Chinese medicine syndrome differentiation logic and molecular mechanism level, the reasonability and interpretability of prescription recommendation are improved, and the method is also suitable for individualized traditional Chinese medicine treatment and traditional and western medicine combined clinical decision support scenes.

The invention provides a diabetic patient life management method and system in combination with traditional Chinese medicine knowledge, and relates to the field of medical health data processing, the method comprises the following steps: obtaining multiple groups of sample data, the sample data at least comprising personal information of sample patients and diabetic traditional Chinese medicine syndromes, and the personal information of the sample patients at least comprising diabetes index data; based on the multiple groups of sample data, multiple key traditional Chinese medicine syndrome discrimination units are determined, and a diabetes traditional Chinese medicine syndrome diagnosis scale is generated; based on the multiple groups of sample data, determining music types matched with different diabetes mellitus traditional Chinese medicine syndromes; determining the diabetic traditional Chinese medicine syndrome of the current user based on the personal information of the current user and the filling information of the diabetic traditional Chinese medicine syndrome diagnosis scale; based on the diabetic traditional Chinese medicine syndromes of the current user and the music types matched with different diabetic traditional Chinese medicine syndromes, music, traditional Chinese medicine health maintenance skills and traditional Chinese medicine recipes are recommended, and the method has the advantage of improving the quality of life management of diabetic patients.

The invention discloses a typhoid theory teaching method based on a knowledge graph, and belongs to the technical field of typhoid theory teaching. The method comprises the steps of multi-version data acquisition and standardization, ancient Chinese context semantic unit construction, term semantic disambiguation based on comparative learning, semantic conflict detection based on consistency constraint, multi-source information fusion and map optimization and teaching path generation. Through ancient Chinese context semantic modeling and comparative learning, precise disambiguation of traditional Chinese medicine ancient book terms is realized, and knowledge errors caused by polysemy of one word are reduced; through an automatic detection mechanism of logic consistency constraint, the quality and reliability of the knowledge graph are improved; a version traceability and belief propagation optimization strategy is adopted, so that the finally constructed knowledge graph not only can integrate multi-version essence, but also can clearly trace knowledge sources and evaluate knowledge credibility; the teaching path chain generated based on the atlas can dynamically simulate the whole process of traditional Chinese medicine syndrome differentiation treatment, and the clinical thinking training effect is remarkably improved.

The invention discloses a traditional Chinese medicine composition for treating hashimoto's thyroiditis and a preparation method and application thereof. The traditional Chinese medicine composition is prepared from 12-25 parts of wine-processed rhizoma polygonati, 18-30 parts of Chinese yam, 6-15 parts of pericarpium citri reticulatae, 3-12 parts of fructus amomi, 25-40 parts of semen coicis fried with bran, 8-16 parts of fried fructus gardeniae, 8-16 parts of rhizoma phragmitis, 8-16 parts of chrysanthemum, 8-16 parts of folium mori, 8-16 parts of radix polygonati officinalis, 10-15 parts of lily, 8-16 parts of honeysuckle, 12-25 parts of herba portulacae and 8-16 parts of radix angelicae. , 3-12 parts of platycodon grandiflorum and 3-12 parts of mint. The traditional Chinese medicine composition adopts the theory of syndrome differentiation and treatment, and clinical experiment results and animal experiment results show that the traditional Chinese medicine composition can improve clinical symptoms of patients with hashimoto's thyroiditis, can be used for treating hashimoto's thyroiditis, and has the advantages of remarkable treatment effect, high safety, homology of medicine and food and no toxic or side effect.

The invention discloses a traditional Chinese medicine composition for treating gastroesophageal reflux disease and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from ginger processed pinellia, poria cocos, semen armeniacae amarae, thunberg fritillary bulb, radix paeoniae alba, pericarpium citri reticulatae, cuttlebone, cassia twig, moutan bark, concha arcae, honey-fried licorice root and the like. Clinical research results show that the qi-regulating and backflow-inhibiting decoction provided by the invention can remarkably improve clinical symptoms of patients with gastroesophageal reflux diseases, can remarkably improve psychological health feelings of the patients with gastroesophageal reflux diseases, and is high in treatment effective rate, low in recurrence rate and good in safety.

The invention discloses a diagnosis and treatment method and system based on dialectical typing prediction and a traditional Chinese medicine large model, and relates to the technical field of traditional Chinese medicine diagnosis and treatment, and the method comprises the steps: inputting the four diagnosis information of a patient into a trained dialectical typing classifier, and outputting each dialectical type of traditional Chinese medicine and the confidence thereof, taking the traditional Chinese medicine syndrome differentiation with the highest confidence coefficient as a predicted syndrome differentiation typing result, and generating an inquiry prompt word according to the template; k document fragments most relevant to the patient complaint are retrieved from a traditional Chinese medicine knowledge base, the document fragments serve as context information and inquiry cues, the patient complaint is input into a trained traditional Chinese medicine large model, and a treatment scheme most relevant to the patient complaint and a syndrome differentiation typing result is generated; according to the diagnosis and treatment method and system, the traditional Chinese medicine dialectical treatment process in the real world is abstracted into an independent dialectical classification classifier, the accuracy of dialectical classification analysis of the system is greatly improved, and the illusion phenomenon occurring when a traditional Chinese medicine large model directly takes four diagnosis information as input is avoided.

The invention discloses a traditional Chinese and western medicine fusion diagnosis and treatment method based on an intelligent large model, and relates to the field of artificial intelligence and medical health, and the method comprises the steps: collecting traditional Chinese medicine four diagnosis information and western medicine diagnosis data of a patient, carrying out the standardized preprocessing through a unified interface, and obtaining structured input data; a traditional Chinese and western medicine diagnosis fusion inference framework is constructed by using a large model, cross-modal alignment and fusion are performed on a traditional Chinese medicine syndrome differentiation typing result and a western medicine diagnosis conclusion to form unified semantic representation, a causal robust modeling mechanism is introduced, and a personalized prescription diagnosis and treatment scheme is generated based on the unified semantic representation and causal robust features in combination with individual features of a patient. The problems that in the prior art, traditional Chinese and western medicine data splitting, individuation is insufficient, and intelligence and interpretability are poor are solved, the limitation that in existing traditional Chinese and western medicine diagnosis and treatment, data splitting, individuation is insufficient and intelligence is insufficient is broken through, and the technical effects that effectiveness, robustness and interpretability of hypertension diagnosis and treatment are improved are achieved.

The present application belongs to the technical field of traditional Chinese medicine, and particularly relates to a traditional Chinese medicine composition for treating recurrent oral ulcer, a traditional Chinese medicine preparation and a preparation method. The traditional Chinese medicine composition for treating recurrent oral ulcer has the effects of supporting healthy qi, promoting tissue regeneration and clearing heat and detoxifying, is scientific and reasonable in prescription, and simple in preparation process. When used as a medicine for treating recurrent oral ulcer, the traditional Chinese medicine composition has the excellent characteristics of remarkable curative effect, short treatment course, low recurrence after recovery, small toxic and side effects, and can effectively avoid the adverse reactions caused by western medicines. The traditional Chinese medicine composition for treating recurrent oral ulcer is accurate and complete in syndrome differentiation, has the synergistic effect of components, treats symptoms and root causes at the same time, has good treatment effect and low recurrence rate, and is helpful to popularization and application in production practice.

The invention discloses a traditional Chinese medicine pulse diagnosis instrument based on multi-modal analysis and a detection method thereof.The device is composed of a shell, a master controller and three sets of pulse diagnosis components used for the cun pulse position, the guan pulse position and the chi pulse position, and each pulse diagnosis component integrates an air path sensing module, an optical sensing module and a pressure sensing module; through cooperative work of the pneumatic piston, the liquid annular bag, the thin film pressure sensor and the optical sensor, accurate collection of pulse signals is completed. The system has the automatic locating and fitting function of three-dimensional linkage of the y axis, the theta axis and the z axis, intelligent locating and layered pressurization of wrist pulse positions can be achieved, and the pulse taking manipulation of'lifting, pressing and searching 'of traditional Chinese medicine is simulated. The device synchronously obtains multi-mode signals such as pulse position, pulse rate, pulse law, pulse shape and pulse potential, and after general control filtering, correction and fusion algorithm processing, a standardized feature matrix is formed and input into a multi-mode fusion model for pulse condition classification and automatic dialectical analysis. According to the device, a visual analysis result is generated based on pulse condition characteristics in combination with eight-line syndrome differentiation and viscera syndrome differentiation.