26 results about "Syndrome type" patented technology

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 application provides a syndrome type classification method and device based on syndrome element decomposition, equipment and medium. The method analyzes the syndrome type name and syndrome type description of the to-be-classified syndrome type through a syndrome element prediction model, splits and predicts the main syndrome element and the secondary syndrome element of the to-be-classified syndrome type as the symptom characteristics of the to-be-classified syndrome type. The target feature vector of the to-be-classified syndrome type is subjected to similarity matching through the retrieval of the known feature vector of the known syndrome type, so that the known syndrome type similar to the feature of the to-be-classified syndrome type is searched in the known syndrome type library to complete the classification of the to-be-classified syndrome type. The application relates to the technical field of model prediction. The feature vector of the to-be-classified syndrome type is obtained through the syndrome element decomposition of the syndrome type, and the vector matching is performed with the known syndrome type, so that the matching between the syndrome types with different standard names and the same symptoms can be realized, the accuracy of the syndrome type matching is improved, and the classification accuracy between the syndrome types with different standards is improved.

The application relates to the technical field of traditional Chinese medicine intelligent diagnosis, and discloses a traditional Chinese medicine syndrome differentiation and treatment hierarchical reasoning system suitable for four-examination logic, which comprises a data acquisition module used for periodically collecting four-examination data of a user; an individualization module constructs an individualized health state topology based on multiple groups of four-examination data under a user health state; a state deviation calculation module calculates a deviation degree and a deviation direction vector of a current four-examination state relative to the topology; a state evolution module internally has a yin-yang growth and decline model to predict a yin-yang state change trajectory with the current state as an initial condition; a hierarchical reasoning module comprises multiple syndrome differentiation sub-layers, each layer takes the deviation degree and the deviation direction vector as a weight factor to be integrated into reasoning and outputs a syndrome differentiation result; and a latent syndrome identification module matches a latent syndrome type according to the deviation direction vector, generates an early warning signal in combination with the deviation degree and the predicted trajectory, solves the problem of four-examination information time sequence loss, and realizes from already-ill syndrome differentiation to latent syndrome early warning.

The application relates to the technical field of artificial intelligence, and particularly discloses a syndrome type matching method, device and equipment and a storage medium, wherein the method comprises the following steps: acquiring a symptom sequence to be matched, mapping the symptom sequence to be matched by using a syndrome element knowledge base to obtain a corresponding first syndrome element list to be matched, the syndrome element knowledge base being constructed based on pre-obtained syndrome element experience knowledge; inputting the symptom sequence to be matched into a pre-trained syndrome element mapping model to obtain a second syndrome element list to be matched; integrating the first syndrome element list to be matched and the second syndrome element list to be matched to obtain a final syndrome element list to be matched; and performing similarity matching on the final syndrome element list to be matched and a known syndrome element list corresponding to each known syndrome type to obtain a matched target known syndrome type and output the matched target known syndrome type. The application combines the TCM syndrome element experience knowledge and the machine learning model, improves the accuracy of the syndrome type matching, and ensures the interpretability of the matching result in the TCM field.

The invention discloses a traditional Chinese medicine syndrome differentiation language model training and reasoning method based on natural language processing, and particularly relates to the technical field of medical information processing. The method comprises the following steps: performing sentence segmentation and symptom statement segmentation on a traditional Chinese medicine medical record text of a patient to construct a symptom statement sequence data set, and analyzing a co-occurrence relation and occurrence position distribution of symptom statements in a patient narrative context to generate context association features of the symptom statements; identifying functional role differences of the same symptom in different narrative contexts according to the context association features of the symptom statements to generate symptom context role annotation data; and dynamically redistributing the participation degree of the symptom characteristics in different symptom type reasoning processes based on symptom context role labeling data, carrying out constraint updating on the traditional Chinese medicine syndrome differentiation language model, and inputting a traditional Chinese medicine medical record text of a to-be-analyzed patient into the trained traditional Chinese medicine syndrome differentiation language model in a reasoning stage. And outputting a corresponding traditional Chinese medicine syndrome type judgment result.

The application provides an acupoint-syndrome correlation information processing method and device, a terminal device and a storage medium, and the method comprises the following steps: mapping a text to a corresponding node in a graph to obtain structured data; weighting entities in the text according to a pathological degree to obtain a weighting result; obtaining an entity weighting result according to a preset strategy and performing mapping to obtain a syndrome coding result; coding resistance data of acupoints to obtain a coding result and splicing the coding result with the syndrome coding result to obtain a feature vector; initializing a clustering center, iteratively calculating the distance between the feature vector and the clustering center, and assigning the feature vector to a cluster cluster to which the nearest clustering center belongs until a preset requirement is reached, and outputting a syndrome type judgment result of the feature vector. The application standardizes and fuses the expression of medical record texts and acupoint resistance data, constructs a three-dimensional mapping relationship of “symptoms-syndrome type-acupoints”, and can improve the effectiveness and accuracy of cervical spondylosis syndrome type identification.

The invention discloses a dialectical acupoint selection method and a dialectical acupoint selection system for treating senile intractable insomnia by using a sleeve type wrist-ankle needle, which comprises the following steps of: acquiring symptom and sign information of a patient in multiple dimensions, screening a target syndrome type range by comparing five syndrome types, determining a candidate acupoint selection area by combining meridian circulation and wrist-ankle needle partition positioning, screening a preset acupoint through acupoint specificity analysis, and selecting a target acupoint selection area according to the preset acupoint selection area. The acupuncture angle, depth and operation sequence are planned, and finally a personalized scheme is formed; the system comprises six units including a symptom and sign acquisition unit, a syndrome type matching analysis unit, a meridian partition association mapping unit, a preset acupoint screening evaluation unit, an acupuncture parameter planning unit and a scheme integration output unit, and all the units are coordinated and linked to achieve whole-process standardized operation. The method and the system take dialectical therapy as a core, establish systematic association of syndrome types, meridians and collaterals, acupuncture points and acupuncture parameters, improve the accuracy and consistency of acupuncture point selection, provide scientific and normative personalized treatment support for senile intractable insomnia, and are suitable for traditional Chinese medicine clinical treatment scenes.

This invention relates to the field of TCM medical information technology, and particularly to a method for generating TCM rehabilitation and nursing plans based on big data-driven syndrome differentiation. The method includes: collecting physiological parameters, medical records, and facial and tongue images to construct a standardized large dataset; using a semantic association model for feature decoupling; deriving syndrome types through syndrome differentiation logic algorithms and generating a syndrome differentiation report; matching the report to a virtual reality rehabilitation scenario; monitoring rehabilitation performance using sensing devices during training and triggering real-time plan adjustments; and applying an evolutionary prediction algorithm to simulate syndrome trends and output a full-cycle TCM rehabilitation and nursing plan. This invention achieves deep integration and closed-loop adjustment of TCM syndrome differentiation and virtual reality, significantly improving the targeting, compliance, and safety of rehabilitation and nursing care.

This invention belongs to the field of clinical efficacy evaluation technology, specifically relating to a method and system for evaluating the efficacy of oral antisleep granules combined with acupoint application in treating insomnia of the heart-kidney disharmony type. The method includes the following steps: selecting subjects to form an observation group and a control group; the control group receiving oral zopiclone tablets; the observation group receiving the same treatment as the control group, combined with oral antisleep granules and acupoint application; observing and comparing indicators: comparing the indicators of the control group before and after treatment with those of the observation group before and after treatment to obtain the efficacy difference between the two groups. The indicators include: a Traditional Chinese Medicine (TCM) syndrome score, where a scale is used to score difficulty falling asleep, shallow sleep with easy awakening / difficulty falling back asleep after waking, early awakening, and lower back and knee weakness. The efficacy evaluation method and system of this application can evaluate the efficacy of oral antisleep granules combined with acupoint application in treating insomnia of the heart-kidney disharmony type.

The invention provides a traditional Chinese medicine intelligent diagnosis system cooperatively driven by diseases and medicines. The traditional Chinese medicine intelligent diagnosis system comprises a data acquisition module, an intelligent diagnosis module and a result output module. The data acquisition module is used for acquiring to-be-diagnosed traditional Chinese medicine syndrome text data; the intelligent diagnosis module is used for carrying out intelligent analysis and judgment on traditional Chinese medicine syndrome text data by using a traditional Chinese medicine diagnosis model, and the traditional Chinese medicine diagnosis model firstly carries out deep feature extraction on an input text by using a semantic understanding unit constructed based on a BERT model to obtain semantic vector representation of syndromes; inputting the vector representation into a four-order asymmetric tensor coupling network constructed based on a professional knowledge base to carry out high-order reasoning and mapping, and finally generating corresponding relations between syndromes and diseases, prescriptions and medicinal materials; and the result output module is used for outputting syndrome types, diagnosis conclusions, treatment schemes and diagnosis reports. The invention provides a traditional Chinese medicine intelligent diagnosis system which is simple, rapid, efficient, objective and high in accuracy.

The invention discloses a traditional Chinese medicine cold-heat syndrome type identification method, device and system and a storage medium, and the method comprises the steps: S1, constructing a biological sample library according to the tongue coating flora of healthy people, cold-cold syndrome people and cold-heat syndrome people; s2, according to the biological sample library and the traditional Chinese medicine syndrome integral scale, constructing a cold-cold-heat syndrome classification model; and S3, inputting the to-be-processed tongue coating flora of the tested person into the cold and cold-heat syndrome classification model for traditional Chinese medicine cold-heat syndrome type identification. By adopting the technical scheme provided by the invention, an objective basis is provided for the judgment and curative effect evaluation of the cold-heat syndrome in the traditional Chinese medicine by detecting the tongue coating flora.

The invention provides a traditional Chinese medicine viscera disease non-contact identification method and system, and the method comprises the following steps: obtaining the index parameter information of the heart rate variability of a patient with the viscera disease in traditional Chinese medicine and a healthy population, and building a first sample set; data cleaning and standardization processing are conducted on the first sample set on the basis of a traditional Chinese medicine viscera disease knowledge base, a second sample set is obtained, and the traditional Chinese medicine viscera disease knowledge base comprises the mapping relation between abnormal indexes of heart rate variability and viscera disease syndromes; extracting an index feature vector of heart rate variability in the second sample set, and converting the traditional Chinese medicine viscera disease syndrome type into a traditional Chinese medicine syndrome type semantic feature vector based on a knowledge graph; fusing the index feature vector of the heart rate variability and the semantic feature vector of the traditional Chinese medicine syndrome type by adopting an attention mechanism to generate a multi-modal fusion feature vector set; according to the method, the heart rate variability features are fused with the traditional Chinese medicine symptom type semantic features to form the multi-modal feature information, the human body constitution features are accurately reflected, and the accuracy of symptom type identification is improved.

The invention relates to the technical field of traditional Chinese medicine tri-jiao symptom identification, and provides a traditional Chinese medicine tri-jiao symptom identification method and system based on a face video, and the method comprises the steps: collecting the face video, and extracting a remote photoelectric volume pulse wave; performing dynamic spectrum reconstruction; dividing upper, middle and lower focal dynamic frequency bands by using a time-varying boundary function, and calculating a power spectrum; detecting virtual-real syndrome type spectrum overlapping and performing self-adaptive separation by using a virtual-real conversion phase function to obtain a tri-focal syndrome feature; and inputting the features into a multi-path prediction decision model based on a tri-focal transmission rule, and fusing the path confidence to output a tri-focal symptom identification result. According to the method, the traditional Chinese medicine tri-focal theory and modern signal processing are fused, a time-varying boundary function is used for performing tri-focal frequency band dynamic division and virtual-real conversion of a phase function, accurate separation of syndrome characteristics is realized, parallel path prediction is performed based on a tri-focal transmission rule in combination with a multi-path prediction decision model, and the accuracy of path prediction is improved. And dynamically adjusting the confidence coefficient of each transmission path through a path weight fusion algorithm.

The invention discloses a prescription preparation method and system based on artificial intelligence, a medium and equipment, and relates to the technical field of intelligent dispensing, and the method comprises the steps: obtaining a historical traditional Chinese medicine case text, and extracting a medical entity in the traditional Chinese medicine case text; based on the medical entity, determining a corresponding disease name in combination with a large language model, and determining a syndrome type result by performing context analysis on the medical entity and in combination with the disease name and a four-diagnosis-combined-parameter principle of traditional Chinese medicine; determining a treatment rule result according to a syndrome type result; generating a preliminary prescription result based on the syndrome type result and the treatment rule result; the generated preliminary prescription result is scored by introducing a large language model, a scoring result is obtained, and when the scoring result is larger than or equal to a preset threshold value, a final prescription preparation result is output; otherwise, generating a structured suggestion, and generating the prescription again according to the structured suggestion in combination with the syndrome type result and the rule result until the scoring result meets a preset threshold value, and obtaining a final prescription preparation result.

The invention relates to the technical field of medical information processing, in particular to a traditional Chinese medicine syndrome type analysis method and device and a sleep disorder early intervention method and device.The traditional Chinese medicine syndrome type analysis method comprises the steps that an original feature data set containing tongue picture features and demographic information of a subject is obtained; performing feature expansion on the original feature data set by adopting a pre-constructed feature engineering scheme to obtain an expanded feature data set; the feature engineering scheme is determined according to traditional Chinese medicine theory priori knowledge in combination with a relationship between variables disclosed by exploratory analysis of a multi-source data set, and comprises a group of predefined feature construction rules; and inputting the original feature data set and the extended feature data set into a pre-trained syndrome type discrimination model to obtain a traditional Chinese medicine syndrome type discrimination result. And the traditional Chinese medicine syndrome type analysis accuracy is greatly improved.

The application discloses a kind of chronic disease multidimensional dynamic intervention management system of fusion ancient Chinese medicine diagnosis and treatment philosophy, it is related to chronic disease management technical field.The system includes data acquisition module, TCM syndrome differentiation and syndrome identification module, dynamic intervention scheme generation module and closed-loop management and iteration module.System is through collecting patient's four TCM diagnoses, constitution syndrome, character psychology and solstice etc multidimensional data, based on ancient Chinese medicine " holistic view " " treatment based on syndrome differentiation " And " disease from heart " Philosophy constructs algorithm model, dynamically identifies TCM syndrome and generates personalized intervention scheme of fusion diet, exercise and heart nature dredge.Meanwhile, according to patient execution feedback and data change carries out closed-loop iteration optimization.The application realizes the deep fusion of Chinese and western medicine data and the dynamic adjustment of intervention scheme, solves the problem of intervention static and ignoring psychological cause in prior art, significantly improves the accuracy of chronic disease management and patient compliance.

The invention relates to a traditional Chinese medicine rehabilitation support system suitable for chronic stomach illness, which comprises the following steps: determining the related core information of the symptom type of a patient by using a traditional Chinese medicine dialectical evaluation module and a multi-aspect information fusion method; in combination with a traditional Chinese medicine body mass table, a symptom score table and a life habit questionnaire, obtaining multi-aspect scores required by dialectical differentiation of the patient; through the patient information registration and management module, comprehensive recording and standardized management from patient case information, previous diagnosis and treatment history and auxiliary examination data to daily rehabilitation execution details are achieved, and data support is provided for making and dynamic adjustment of a personalized rehabilitation scheme; by integrating multi-angle information such as physique scores, symptom scores, living habit scores and medical history examination scores and combining a preset dialectical rule base and algorithm, matching of comprehensive dialectical scores and syndromes of patients is completed, and the problem of syndrome type misjudgment caused by high subjectivity of individual dialectical subjectivity and limited resources of primary doctors in traditional Chinese medicine rehabilitation is effectively solved.

The invention discloses a sleep formula for conditioning insomnia with different syndrome types and application, and belongs to the technical field of traditional Chinese medicines. The sleep formula takes syndrome differentiation and treatment as a core, corresponding food materials are specifically added on the basis of a basic formula on the basis of three common symptoms of insomnia, namely heart-spleen deficiency type, liver-fire disturbing heart type and heart-kidney disharmony type, auxiliary food materials can be selectively matched according to the severity of the symptoms, the traditional Chinese medicine compatibility principle of monarch, minister, assistant and guide is strictly followed, all the food materials are homologous in medicine and food, and the traditional Chinese medicine composition has the advantages that the traditional Chinese medicine composition has a good curative effect; the raw materials are easy to obtain, proportioning is scientific, safety is high, and the conditioning effect is remarkable. The invention also provides a preparation method and application of the sleep formula, the sleep formula can be widely applied to daily conditioning of insomnia and research and development of related health products, safety, effectiveness and convenience are considered, the defects of poor adaptability, fuzzy compatibility and complex preparation of fixed prescriptions in the prior art are avoided, and the sleep formula has outstanding creativity and practicability.

According to the RA traditional Chinese medicine syndrome typing based on the protein antibody chip technology and application, the protein antibody chip technology is applied to RA traditional Chinese medicine syndrome typing for the first time, and high-throughput and multi-target detection is achieved. Key markers such as IL-6R and TIMP-2 are found, and the combination of the key markers can remarkably improve the syndrome distinguishing accuracy; compared with single ELISA detection, the protein antibody chip technology can analyze 40 inflammatory factors at the same time, and the efficiency is greatly improved. In combination with bioinformatics, molecular characteristics of the damp-heat blockage syndrome and the liver and kidney deficiency syndrome are disclosed; an objective laboratory basis is provided for traditional Chinese medicine differentiation of RA, and clinical precise typing and individualized treatment are assisted.

This application relates to the field of rehabilitation effect evaluation technology, specifically to a system for evaluating the rehabilitation effect of stroke patients based on traditional Chinese medicine rehabilitation theory. The system includes: an output module, which inputs feature vectors into a recognition model and outputs the membership degrees of each syndrome type, determining the dominant syndrome type based on the membership degrees; a determination module, which determines the feature weight vector based on the correspondence, the dominant syndrome type, and its corresponding stage; a calculation module, which calculates the tongue-pulse consistency coefficient based on the differences between tongue and pulse feature data from adjacent periods, and determines the feature change rate based on the differences between multiple feature data from adjacent periods; an adjustment module, which adjusts the feature vectors based on the tongue-pulse consistency coefficient, the feature change rate, and the feature weight vector to obtain an attention-weighted feature vector; and a prediction module, which inputs the attention-weighted feature vectors from multiple consecutive periods into a prediction model and outputs the rehabilitation effect evaluation results. This application can improve the accuracy of rehabilitation effect evaluation.

The invention relates to the technical field of traditional Chinese medicine, and discloses a standardized symptom and curative effect evaluation cloud platform for clinical research of cardiovascular diseases, and the platform comprises an individual feature collection module which is used for obtaining individual basic information, traditional Chinese medicine syndrome differentiation information and real-time physiological index data of patients with traditional Chinese medicine cardiovascular diseases; the symptom mapping module is standardized, and the corresponding relation between the structured symptom data and the traditional Chinese medicine cardiovascular disease type and the syndrome type is established. In the dynamic curative effect evaluation process, the weights of different symptom dimensions are adapted in combination with the current syndrome differentiation type of a patient, so that the problem that a single weight standard cannot meet individual difference requirements in traditional Chinese medicine diagnosis and treatment is avoided; weight adjustment gives consideration to individual conditions and historical evaluation errors, so that the curative effect score better conforms to the actual treatment response of a patient, a more reliable curative effect judgment basis is provided for clinical research, and the scientificity of a research result is promoted.

The invention discloses a traditional Chinese medicine formula intelligent recommendation and safety monitoring system based on a knowledge graph, and belongs to the technical field of traditional Chinese medicine intelligent diagnosis and treatment, the system comprises a traditional Chinese medicine syndrome type diagnosis module, a prescription knowledge graph, a deep neural network inference engine and a safety evaluation monitoring platform, the inference engine uses the heterogeneous graph attention neural network to retrieve the best prescription in the knowledge graph, and the safety evaluation platform detects incompatibility, evaluates dose safety and predicts drug interaction. According to the system, personalized traditional Chinese medicine prescription recommendation and all-around medication safety monitoring are realized through condition judgment and a self-adaptive adjustment mechanism, and the intelligent level and the safety guarantee capability of traditional Chinese medicine diagnosis and treatment are effectively improved.

The application discloses a traditional Chinese medicine prescription intelligent recommendation and safety monitoring system based on a knowledge graph, and belongs to the technical field of intelligent diagnosis and treatment of traditional Chinese medicine. The system comprises a traditional Chinese medicine syndrome type diagnosis module, a prescription knowledge graph, a deep neural network reasoning engine and a safety evaluation monitoring platform. The syndrome type diagnosis module adopts a multilevel syndrome differentiation mechanism to determine the syndrome type. The reasoning engine uses a heterogeneous graph attention neural network to search for the best prescription in the knowledge graph. The safety evaluation platform detects incompatibility, evaluates the safety of the dose and predicts drug interactions. Through conditional judgment and adaptive adjustment mechanisms, the system realizes personalized traditional Chinese medicine prescription recommendation and comprehensive medication safety monitoring, and effectively improves the intelligent level and safety guarantee capability of traditional Chinese medicine diagnosis and treatment.

The invention relates to the technical field of medical data processing, and provides a traditional Chinese medicine virtual-excess disease non-contact identification method and system based on a face video, and the method comprises the steps: obtaining the face video data of a patient, and extracting an RPPG signal; constructing an HRV feature vector according to the theory of five internal organs in traditional Chinese medicine, and carrying out balance constraint processing to obtain a corrected feature vector; setting virtual and real syndromes as two game parties by adopting a game algorithm, respectively performing game calculation, and dynamically adjusting the weight of each characteristic parameter in the correction characteristic quantity according to a game calculation result to obtain a weight adjustment characteristic vector; constructing a four-dimensional space-time model, taking traditional Chinese medicine pathogenesis evolution as a constraint condition, establishing a state transition path, and performing four-dimensional space-time tracking analysis on the weight adjustment feature vector to obtain syndrome evolution data; and inputting the syndrome evolution data into a preset decision-making tree model, and outputting virtual and actual syndrome types and syndrome degrees. According to the invention, accurate tracking analysis of dynamic evolution of syndromes is realized, and accurate output of types and degrees of virtual and real syndromes is ensured.

This invention discloses a TCM intelligent consultation and syndrome-based prescription recommendation system and method based on multimodal fusion and syndrome element reasoning, belonging to the field of TCM intelligent diagnosis and treatment technology. It collects and standardizes patient textual symptom, tongue, and pulse data, dynamically generates consultation questions to complete symptom and pulse details based on reinforcement learning algorithms, and uses dual-dimensional syndrome element reasoning based on disease nature and location. It integrates tongue and pulse features with a composite syndrome element knowledge graph to form a closed-loop reasoning logic. Based on the dual-dimensional syndrome element mapping to syndrome types, it combines the theory of auxiliary medicine to adapt targeted auxiliary medicines and verifies compatibility contraindications, collaboratively recommending TCM prescriptions and prepared Chinese medicines. Finally, it generates personalized health management suggestions integrating exercise, diet, and emotional well-being. This invention solves the problems of non-standardized symptom collection, insufficient multimodal data integration, and non-closed-loop syndrome element reasoning in existing technologies, significantly improving the accuracy of syndrome differentiation and the targeting of prescriptions, enriching medication choices, and promoting the standardization and precision of TCM diagnosis and treatment.