215 results about "Syndrome differentiation" patented technology

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 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 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 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 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 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 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 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.

The invention provides an intelligent constitution identification system based on lingual surface infrared thermal imaging and traditional Chinese medicine syndrome differentiation and an application method. According to the system, an infrared thermal image partition acquisition module, a lingual surface image normalization acquisition module and a voice feature analysis module are fused, and an intelligent database integrating traditional Chinese medicine syndrome differentiation knowledge and cases is constructed. Through a deep learning algorithm, multi-modal features such as a human body infrared thermal structure, lingual texture color, voice frequency tone and the like are extracted, an improved cross-modal attention mechanism is applied to realize data deep fusion, a dialectical analysis model is established in combination with a traditional Chinese medicine viscera meridian theory, and dynamic tracking and health risk prediction are performed on physique change by using an LSTM network. The application method covers multi-modal data synchronous acquisition, joint feature extraction, fusion dialectical analysis, dynamic health assessment and other processes, can generate a personalized diagnosis and treatment scheme including medicine and food compatibility, meridian guidance and emotion regulation, and supports doctor-patient interaction optimization.

The invention discloses a pediatric spleen and stomach dynamic monitoring method and system based on an AI chip, and belongs to the field of medical health information technology and artificial intelligence chip application. The pediatric spleen and stomach dynamic monitoring method comprises the steps that a multi-mode original data set is collected, signal preprocessing is conducted, and a feature data set is obtained; key indexes of spleen and stomach syndromes are identified from the feature data set based on the viscera differentiation theory, and a dialectical result is obtained; inputting the feature data set into a dialectical verification model to generate a spleen and stomach health assessment value; when the spleen and stomach health assessment value is smaller than an assessment threshold value, a first-level health early warning signal is generated; and when the duration of the first-stage health early warning signal is greater than a duration threshold, generating a second-stage combined early warning signal according to pre-acquired user behavior log data. A multi-modal data fusion technology, a dynamic noise reduction algorithm and a grading early warning mechanism are adopted, and doctors can be assisted in achieving precise evaluation of the spleen and stomach states of children and personalized traditional Chinese medicine intervention.

The invention discloses a traditional Chinese medicine syndrome differentiation question-answering system and method based on a knowledge graph and a large language model, and belongs to the technical field of large language models. Comprising an input unit, a segmentation unit, an entity and relationship extraction unit, a knowledge graph construction unit, a query generation unit and an output unit, and is characterized in that traditional Chinese medicine related ancient literature, past medical cases and modern outpatient medical record data are preprocessed and segmented into blocks by using a segmentation model to obtain segmented text blocks; according to the segmented text blocks, entities and relations are extracted from the text blocks through a large language model in combination with cue words; carrying out vectorization processing on the segmented text blocks by utilizing an embedded model, carrying out intelligent duplicate removal on the entities and the relationships through a knowledge graph technology, constructing a complete knowledge graph, and storing the knowledge graph into a knowledge base; according to query of a user, local keywords and global keywords are extracted through a large language model, the keywords are retrieved in a knowledge base and a knowledge graph after the large language model understands the question context of the user, and the retrieved knowledge is combined with a prompt word project to be returned to the large model to generate an accurate symptom answer; according to the invention, intelligent conversion and reasoning output from traditional Chinese medicine texts to symptom knowledge can be efficiently completed.

The application discloses a diagnosis data processing method and device and a storage medium, relates to the technical field of data processing, and comprises the following steps: acquiring a heart-lung auscultation sound signal collected by a collection device and a traditional Chinese medicine (TCM) diagnosis standard description received based on an interactive interface; determining a western medicine quantitative diagnosis index according to the heart-lung auscultation sound signal, and correlating a TCM syndrome differentiation type according to the TCM diagnosis standard description and the western medicine quantitative diagnosis index; and generating and outputting a TCM medication recommendation scheme corresponding to a diagnosis result according to the western medicine quantitative diagnosis index and / or the TCM syndrome differentiation type. The application provides strong objective evidence and quantitative reference by differentiating the TCM syndrome differentiation type according to the auscultation sound. When diagnosing and treating diseases, the TCM highly depends on and integrates the auscultation result, and takes the auscultation result as one of key bases for differentiation, prescription selection, treatment effect evaluation and prognosis.

The application discloses a kind of Zhang Xizheng pure Chinese medicine theory prescription medicine digital inheritance and intelligent analysis system.The system includes disease and syndrome differentiation rule engine subsystem, prescription three-way search subsystem, drug knowledge enhancement subsystem, medical record intelligent search subsystem, Zhang Xizheng school review subsystem and large language model interaction subsystem.The method performs the following steps: LLM clinical information extraction and disease prediction (extract symptoms, tongue, pulse, and 8 big disease classification prediction), disease and syndrome differentiation KB rule matching (8 big disease classification x multiple syndrome type weighted scoring matching), multi-source search (prescription three-way search+drug knowledge double-way vector recall and prescription-drug dynamic association+medical record multidimensional mixed scoring search), LLM fusion generation (inject all search results Zhang Xizheng school special prompt word generation theory prescription medicine analysis report) and Zhang Xizheng school four-dimensional review (western medicine perspective+air theory+drug use principles+theory prescription medicine consistency).The present application first realizes the computer formalization expression of Zhang Xizheng "disease differentiation before syndrome differentiation" mode and "air monism" theory, based on "Medical Western Medicine Record" 172 prescriptions+213 drugs / medical theory / medical conversation+137 cases to build a complete knowledge search and intelligent analysis system, with the ability of western medicine perspective+air theory+drug use principles+theory prescription medicine consistency.

The invention discloses a traditional Chinese medicine composition for treating recurrent urinary tract infection as well as a preparation method and application thereof. The traditional Chinese medicine composition is prepared from 30-90 parts of astragalus membranaceus, 3-9 parts of cordyceps mycelia, 12-36 parts of rhizoma anemarrhenae, 10-30 parts of golden cypress and 6-18 parts of cinnamon. According to the pathogenesis characteristics of recurrent urinary tract infection and the principle of treatment based on syndrome differentiation of traditional Chinese medicine, the optimal raw material composition and dosage part ratio are obtained through screening, simplification and optimization of a large number of experiments, and the traditional Chinese medicine composition can remarkably improve the frequent micturition symptom, bacterial load and bladder pathological injury of rUTI mice. In addition, the drug-containing serum can promote migration of the SV-HUC-1 cells and reduce the level of inflammatory factors secreted by co-culture of the SV-HUC-1 cells and the UTI89 cells; the adhesion and internalization of the UTI89 to the cells are reduced. In addition, according to different bacterial strains and mouse modeling results, it is found that the modeling rate is obviously increased in a mode of enhancing infection every 24 hours, a recurrent urinary tract infection model of UTI89 infected C57BL / 6J is constructed, and a stable model is provided for screening drugs for treating recurrent urinary tract infection.

The invention discloses a traditional Chinese medicine compound composition with an effect of preventing and treating radioactive injury as well as a preparation method and application thereof. The traditional Chinese medicine compound composition is prepared from 5-15 parts of American ginseng, 3-6 parts of sea-buckthorn and 10-30 parts of rhizoma polygonati. The composition is proportioned and optimized according to the theory of treatment based on syndrome differentiation, and the medicines are combined to achieve the effects of tonifying qi, activating blood and nourishing yin. Clinical experiment results show that the traditional Chinese medicine compound composition provided by the invention has a remarkable effect of preventing and treating radioactive injury, particularly has a remarkable curative effect in the aspects of improving oral mucositis, dry mouth, weakness, sleep disorder and the like after radiotherapy, and is safe in clinical medication.

The invention relates to the technical field of traditional Chinese medicines, in particular to a traditional Chinese medicine composition with the effects of treating atrial fibrillation and improving anxiety, a medicine and a preparation method and application thereof. When the traditional Chinese medicine composition provided by the invention is combined with auricular point pressing beans to treat patients with atrial fibrillation and anxiety, clinical symptoms of atrial fibrillation and anxiety can be further improved, specifically, the score of traditional Chinese medicine syndromes is reduced, the effective rate of electrocardiograms and the clinical effective rate of anxiety are improved, the life quality of the patients is improved, and no obvious adverse reaction exists. Meanwhile, a traditional Chinese medicine oral administration and traditional Chinese medicine external treatment combined method is adopted, syndrome differentiation treatment can be carried out from the holism concept, the holographic therapy of external treatment of internal diseases can be utilized to the maximum extent, and a simple, convenient, safe and effective treatment thought is provided for early prevention, early diagnosis and early treatment of more diseases.

The application discloses a symptom matching and scheme recommendation system and method based on big data, belongs to the technical field of big data matching, and comprises a user complaint intelligent analysis module, a knowledge base multidimensional search module, a dynamic symptom recommendation module, a probabilistic syndrome differentiation and diagnosis module and a diagnosis result output module. The application solves the problems caused by the simple linear superposition among symptoms by analyzing the interaction of user symptoms, adjusts the combination weight coefficient, optimizes the syndrome differentiation and diagnosis model, and improves the probability output accuracy of the syndrome differentiation and diagnosis model. The application provides guarantee for the subsequent system to output accurate disease diagnosis data.

The invention provides an artificial intelligence-based traditional Chinese medicine dialectical accurate marketing analysis system and method. According to the system, user health data is obtained through a pulse diagnosis instrument, a tongue picture recognition module, a user self-complaint module and other multi-source acquisition modules; performing multi-dimensional evidence chain fusion and cross validation on the meridian data, the tongue picture characteristics and the self-complaint text by utilizing the constructed traditional Chinese medicine knowledge graph, and generating a structured syndrome differentiation conclusion through an algorithm model; and finally, continuously optimizing the syndrome differentiation and recommendation model through a user feedback closed loop, so that objectiveness, standardization and intelligentization of traditional Chinese medicine syndrome differentiation are realized, the recommendation accuracy of health products and the user satisfaction degree are remarkably improved, and the method is suitable for popularization and application. Meanwhile, health data are converted into commercial insights through the unique marketing analysis function, a sustainable commercial mode closed loop is formed, and remarkable economic and social benefits are achieved.