91 results about "Integrative medicine" patented technology

The invention relates to the technical field of acupuncture, in particular to an intelligent acupuncture point precise positioning and stimulation regulation and control system based on combination of traditional Chinese medicine and western medicine, and the system firstly collects body surface acupuncture point information of a user, analyzes sensitivity and generates visual data. The information processing module fuses the data, generates acupoint comprehensive characteristics and marks a target acupoint. And the virtual visualization module generates a virtual acupoint image and marks a target acupoint. The needling instrument massage module formulates a needling instrument pushing scheme according to acupuncture point characteristics and needling instrument parameters, and the needling instrument pushing scheme is executed by the body surface needling instrument pushing device. Meanwhile, the electrical stimulation regulation and control module generates parameters, the electrical stimulation intensity, frequency and time are controlled, and the electric acupuncture massage device is combined with body surface acupuncture massage operation to execute treatment. According to the system, accurate acupoint positioning, personalized needle pushing scheme making and electrical stimulation regulation and control are achieved, the effect and safety of needle pushing treatment are improved, and innovative technical support is provided for modernization of traditional Chinese medicine.

The invention relates to the technical field of medical evaluation, and discloses an Alzheimer's disease early cognition evaluation system and method based on combination of traditional Chinese medicine and western medicine. The system comprises a tongue image acquisition module, a pulse condition fluctuation signal acquisition module, a western medicine information acquisition module, a data preprocessing module, a feature extraction module, a data fusion module, a comprehensive data set establishment module and an evaluation decision module, wherein the tongue image acquisition module acquires tongue images, pulse condition fluctuation signals, inquiry text data and inquiry sound information; and the western medicine information acquisition module performs multi-modal fusion on feature data of traditional Chinese medicine and western medicine to construct a comprehensive data set. According to the system, multi-modal data is collected by integrating a traditional Chinese medicine four-diagnosis module and a western medicine detection module, the multi-modal data is processed and fused through algorithms including attention mechanism image processing, signal analysis and the like, and then an evaluation model is trained through integrated learning, transfer learning and the like. The method comprises the steps of equipment deployment, data acquisition and processing, model training, evaluation application and the like, multi-dimensional accurate evaluation is realized by combining optimization of a generative adversarial network, fuzzy logic and the like, and technical support is provided for early diagnosis.

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

The invention provides a whole-course nursing management system combining traditional Chinese medicine and western medicine for tumor patients, and relates to the field of intelligent health management.The whole-course nursing management system comprises the steps that physiological, exercise, diet and psychological condition data of the tumor patients are collected at first, and then potential health risks of the tumor patients are recognized by analyzing the physiological, exercise and diet data; meanwhile, the enthusiasm of the patient is evaluated according to psychological condition data, and then all collected data and recognition and evaluation results are input into a Chinese and western medicine combined nursing health management suggestion engine based on a large language model to generate a Chinese and western medicine combined nursing health management suggestion conforming to the actual condition of the tumor patient. Therefore, comprehensive and personalized health management service can be provided for tumor patients.

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 relates to the technical field of diagnosis and treatment, in particular to a traditional Chinese and western medicine combined intelligent decision diagnosis and treatment method, system and equipment. According to the method, firstly, the symptoms of a patient are coded and converted into feature vectors, then vector matching is carried out in a pre-constructed traditional Chinese and western medicine combined knowledge graph, applicable diagnosis and treatment information is screened out by calculating the similarity and setting a threshold value, and a preliminary scheme is formed; reading individual information of the patient, and analyzing in combination with the medication taboo rule base to obtain personalized treatment parameters; and finally, performing optimization adjustment based on the initial scheme and the personalized parameters to generate a final diagnosis and treatment suggestion. Deep fusion of traditional Chinese and western medicine knowledge is realized, a diagnosis and treatment scheme can be dynamically adjusted according to individual features of a patient, and the accuracy and effectiveness of diagnosis and treatment are improved.

The invention discloses a lung cancer patient dynamic survival prediction model based on multi-dimensional clinical data, and relates to the technical field of cancer survival prediction, and the key point of the technical scheme is that the dynamic survival prediction model comprises a core model module and a data support module, the core model module comprises a graph convolutional neural network model, a long-short-term memory network model and a generative large language model, and the data support module comprises three data processing systems, namely a time-dependent variable, a time independent variable and a data balancing strategy. According to the dynamic survival prediction model based on combination of traditional Chinese medicine and western medicine, abundant multivariate data in EHR can be fully utilized, individualized and precise diagnosis and treatment of the patient can be realized, artificial intelligence is assisted, and dynamic prediction of the survival rate of the lung cancer patient in one year, two years and three years can be effectively realized.

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 relates to the technical field of medical health informatics, and discloses a tumor patient meridian energy dynamic monitoring system and method. The system comprises a midnight-noon ebb-flow time sequence energy mapping module, a multi-modal tumor characteristic signal acquisition module, a tumor focus-meridian correlation map construction module, a chemotherapy toxic reaction prediction module and a moxibustion intervention decision module. Dynamic and accurate monitoring of the meridian energy state of a tumor patient is achieved, potential risks can be early warned 12-24 hours in advance by establishing a chemotherapy toxicity risk scoring algorithm, the life quality of the patient is remarkably improved by generating a personalized moxibustion intervention scheme, and clinical decision support is provided for traditional Chinese and western medicine combined tumor auxiliary diagnosis and treatment.

The invention relates to a virtual reality rehabilitation training system for coronary heart disease PCI postoperation traditional Chinese and western medicine combined rehabilitation nursing, which comprises the following steps of: acquiring physiological signs and meridian information of a patient after coronary heart disease PCI postoperation to obtain multi-dimensional physiological state data of the patient; performing traditional Chinese medicine syndrome type identification and western medicine index quantitative analysis on the patient based on the multi-dimensional physiological state data of the patient to obtain a health state evaluation result of the traditional Chinese medicine and western medicine combined patient; performing personalized scene element configuration and interactive logic design on a preset virtual reality scene based on the combination of the traditional Chinese medicine and the western medicine and the patient health state evaluation result to obtain a customized virtual rehabilitation training scene; immersive virtual reality rehabilitation training is carried out on the patient through the customized virtual rehabilitation training scene, training interaction data is obtained, and the key problem that quantitative analysis of western medicine indexes is often emphasized and the overall physical condition reflected by traditional Chinese medicine syndrome types is neglected when a traditional rehabilitation means is used for evaluating the health state of the patient is solved.

The invention discloses a construction method of a pulmonary arterial hypertension traditional Chinese medicine syndrome model, and aims to simulate a pulmonary arterial hypertension animal model with syndrome characteristics of heart-kidney yang deficiency. The method comprises the following steps: inducing rat pulmonary arterial hypertension pathological basis by adopting monocrotaline, and inducing a heart-kidney yang deficiency state in combination with hydrocortisone intervention from the 15th day; the characteristics of the model are evaluated through multiple indexes such as echocardiography, blood gas analysis, tri-gland axis hormone, energy metabolism, renal functions, biochemical factors, HE staining and ultrastructure observation. Results show that the model has pathological changes of pulmonary arterial hypertension and syndromes such as yang deficiency, water retention, life gate fire decline and the like in traditional Chinese medicine, the construction method is stable and repeatable, and the model is suitable for an experimental platform for traditional Chinese medicine intervention research and combination of traditional Chinese medicine and western medicine.

The application relates to the technical field of diagnosis and treatment, in particular to an intelligent decision-making diagnosis and treatment method, system and equipment combining traditional Chinese medicine and western medicine. First, the symptoms of a patient are encoded into a feature vector, then vector matching is performed in a pre-constructed knowledge graph combining traditional Chinese medicine and western medicine, applicable diagnosis and treatment information is screened out by calculating the similarity and setting a threshold value, and a preliminary scheme is formed; then the individual information of the patient is read, and analysis is performed in combination with a medication contraindication rule library, so that personalized treatment parameters are obtained; finally, the preliminary scheme and the personalized parameters are optimized and adjusted, and the final diagnosis and treatment suggestion is generated; not only the deep integration of traditional Chinese medicine and western medicine knowledge is realized, but also the diagnosis and treatment scheme can be dynamically adjusted according to the individual characteristics of the patient, and the accuracy and effectiveness of the diagnosis and treatment are improved.

The invention provides a traditional Chinese medicine syndrome differentiation and typing establishment method for immune checkpoint inhibitor related cardiotoxicity, which comprises the following steps: formulating a traditional Chinese medicine syndrome questionnaire, and collecting and standardizing clinical syndromes; performing quantitative scoring on the collected traditional Chinese medicine syndrome questionnaire; performing syndrome type induction and constructing a traditional Chinese medicine syndrome differentiation typing model; and outputting a syndrome differentiation result according to the established traditional Chinese medicine syndrome differentiation typing model. By establishing the traditional Chinese medicine syndrome differentiation typing model, a personalized traditional Chinese and western medicine combined treatment scheme can be conveniently formulated for a patient clinically and subsequently.

The invention relates to the technical field of combination of traditional Chinese medicine and traditional Chinese medicine and western medicine, in particular to a stasis-removing traditional Chinese medicine compound preparation for treating colorectal tumor and a preparation method and application thereof, and the compound preparation comprises the following components in parts by weight: 30-500 parts of Chinese yam, 30-500 parts of madder, 30-500 parts of hairyvein agrimony, 30-500 parts of cuttlebone, 30-500 parts of crude dragon bone, 30-500 parts of raw oyster shell and 30-500 parts of liquorice. Compared with the prior art, the stasis-removing and stasis-dispersing traditional Chinese medicine compound preparation for treating the colorectal tumor blood stasis syndrome can effectively solve the problem of traditional Chinese medicine treatment of patients with the colorectal tumor blood stasis syndrome clinically, and especially has an obvious treatment effect on middle and advanced period blood stasis syndrome patients.

The invention discloses a traditional Chinese and western medicine fusion data analysis system and method based on a multi-mode sensor, and belongs to the technical field of intelligent medical treatment. The system comprises: (1) a tongue diagnosis module, which collects tongue images through a multispectral camera (400-1000nm), and extracts HSV color features (resolution of 0.1 degree) and LBP texture features (radius of 3 pixels); the pulse diagnosis module (2) adopts a laser Doppler sensor (850nm) to obtain a radial artery signal, and extracts pulse position / pulse potential / pulse shape three-dimensional features (sample entropy lt, 1.2 represents chordwise astringent pulse) through wavelet transform; and (3) the data processing module inputs the tongue vein features, fasting blood glucose (blood glucose + / -0.3 mmol / L precision), C-reactive protein and other western medicine biochemical indexes into a fusion decision model, dynamically distributes traditional Chinese medicine and western medicine weights (for example, the traditional Chinese medicine weight is smaller than or equal to 40% when the C-reactive protein is larger than 10 mg / L) through a typhoid miscellaneous disease rule base and a random forest algorithm, and generates physical feature vectors for health state classification. Organic cooperation of traditional Chinese medicine physical sign quantitative analysis and western medicine evidence-based medicine is achieved, the early-stage diabetes screening accuracy rate is improved by 23.7% (compared with single-mode diagnosis), and the method is suitable for family health monitoring and traditional Chinese and western medicine combined diagnosis and treatment.

The present invention relates to the technical field of human signal measurement, and particularly relates to an extremely weak magnetic measurement method and system for a combined traditional Chinese and Western medicine acupuncture department. Based on the characteristic that the angle and depth of needle insertion have a certain influence on the magnetic field change of acupoints, the present application conducts commonality analysis and universality analysis on the classified magnetic field intensity data at each needle insertion angle and each needle insertion depth, so as to determine the corresponding influencing factors, that is, the degree of influence; thereby, based on the influencing factors, the weights of the magnetic field intensity in the iterative classification process are adaptively adjusted, making the update of the weights in the weak classifier training process more in line with objective facts, thereby improving the accuracy and convergence speed of the human acupoint acupuncture model constructed according to each weak classifier, and making the accuracy of extremely weak magnetic measurement higher.

The invention provides a method for predicting coronary artery stenosis degree based on a tongue picture of a patient with coronary heart disease. The method comprises the steps of obtaining a data set; the data set comprises electronic medical record information, blood examination indexes, cardiac ultrasound indexes, electrocardiograms and tongue pictures of the coronary heart disease patient; dividing the preprocessed data set into a training set and a test set according to a preset proportion; building a deep learning network model; inputting the training set into the deep learning network model for training and optimization, and storing the final optimized deep learning network model; and inputting the test set into the finally optimized deep learning network model to obtain a prediction result of the coronary artery stenosis degree of the coronary heart disease patient. According to the method, the coronary artery stenosis degree is judged according to the tongue picture, the electrocardiogram, the cardiac ultrasound index and the blood examination index of the patient with the coronary heart disease, tongue picture features extracted from the tongue picture are converted into quantifiable coronary artery stenosis noninvasive screening targets, and traditional Chinese and western medicine combined diagnosis and treatment intellectualization is promoted.

The invention discloses a traditional Chinese and western medicine disease and syndrome combined hepatic ischemia-reperfusion injury ligand and receptor interaction communication network construction method, system and device, a medium and a product, and relates to the field of medicine. Traditional Chinese medicinal materials related to occurrence and development of the hepatic ischemia-reperfusion injury are identified from Chinese literatures and Chinese patents; constructing a traditional Chinese medicine target group based on traditional Chinese medicines; keywords are set based on pathological knowledge of western medicine, and biomarkers or target protein groups related to occurrence and development of hepatic ischemia-reperfusion injury are identified from different literatures; constructing a disease target group based on the biomarker or the target protein group; the traditional Chinese medicine target group and the disease target group form a liver transplantation HIRI target network; and performing network topology comparison on the traditional Chinese medicine target group and the disease target group to determine an optimal traditional Chinese medicine. According to the application, the advantages of combination of traditional Chinese medicine and western medicine are exerted, and the corresponding traditional Chinese medicinal materials are determined by constructing the liver transplantation HIRI target network.

The invention relates to the technical field of medical instruments, in particular to traditional Chinese and western medicine combined surgical emergency equipment which comprises a shell, a plurality of storage boxes are arranged in the shell, a conveying plate made of elastic materials is further arranged in the shell, a plurality of holes are formed in the conveying plate and evenly distributed along the gravity center of the conveying plate, and the outer side walls of the storage boxes are in sliding fit with the side walls of the adjacent holes. The conveying plate is coaxially and fixedly connected with a rotating shaft, a driving part is arranged on the rotating shaft and used for driving the rotating shaft to rotate, a pushing assembly is further arranged below any storage box and used for pushing the adjacent storage box to be exposed out of the shell, and the control system is further used for obtaining voice information of a user. The driving part and the pushing assembly are controlled to work according to the voice information and the types of the medicines. The method is used for optimizing the working steps of medical staff in the rescue process so as to save the rescue time.

This invention discloses an intelligent questioning method and system based on emotion recognition and integrated traditional Chinese and Western medicine (TCM) logic voice interaction. The method includes: voice emotion acquisition and recognition; real-time capture and filtering of patient voice signals; extraction of emotion-related voice features and input into a trained and optimized emotion recognition model; outputting emotion type and confidence level and processing according to interval judgment strategies; retrieving associated symptoms of corresponding emotions from a TCM-symptom association rule base; filtering based on symptoms already mentioned by the patient and generating personalized in-depth questioning scripts according to TCM-Western medicine diagnostic logic; executing voice interaction to complete script playback, response collection, and data processing; if new symptoms are detected, triggering secondary matching and supplementary questioning; and finally forming standardized symptom-emotion association data storage. This invention achieves accurate recognition of patient voice emotions, combines TCM and Western medicine logic for in-depth questioning, improves the completeness of symptom collection and the accuracy of auxiliary diagnosis, and is suitable for TCM-Western medicine integrated auxiliary diagnosis scenarios.

The invention discloses a secretion internal medicine traditional Chinese medicine fumigation massage device and system combining traditional Chinese medicine and western medicine, and relates to the technical field of medical health equipment. Comprising a mounting device and a massage chair with a massage structure, the traditional Chinese medicine fumigation mechanism comprises a steam generation mechanism, a steam spraying mechanism and a sealing cover, the steam generation mechanism comprises a liquid preparation box with a heating assembly and a medicine liquid adding part, an air cavity is formed in the sealing cover, steam holes are densely distributed in one side of the air cavity, the steam spraying mechanism comprises an air conveying pipe, and the other end of the air conveying pipe is communicated with the air cavity; the traditional Chinese and western medicine combination module comprises a data acquisition unit, a data processing unit and a display unit; the integrated intelligent control system comprises a temperature controller, a time controller and a massage parameter controller. Two treatment methods of traditional Chinese medicine fumigation and massage are combined, the advantages of traditional Chinese medicine and western medicine combined treatment are fully exerted, and a more comprehensive treatment scheme is provided for secreting internal medicine diseases.

The invention discloses a sepsis traditional Chinese medicine early warning intervention effect analysis method based on an intelligent chip, and the method comprises the steps: carrying out the processing of a multi-parameter feature fusion method through employing tongue pulse parameter features, tongue image features, physiological parameter features before early warning intervention, and physiological parameter features after early warning intervention through the intelligent chip; pre-warning intervention effect features are obtained based on the pre-physiological parameter features and the post-physiological parameter features, and a pre-warning intervention effect analysis model is constructed by using the pre-warning intervention effect features and an intervention result; the intelligent chip constructs a sepsis traditional Chinese medicine intervention neural network model on the basis of physiological parameter characteristics before and after intervention in combination with traditional Chinese medicine early-warning parameter characteristics, so that traditional Chinese and western medicine characteristic data with different modes are processed in a cross-modal mode, early-warning intervention effect characteristics are obtained by fusing traditional Chinese medicine tongue pulse data and the physiological parameter characteristics before and after intervention, and the sepsis traditional Chinese medicine intervention neural network model is obtained. The trained model has the traditional Chinese medicine and western medicine combined feature processing ability, the model generalization ability is high, and the analysis of the traditional Chinese medicine early warning intervention effect is more objective.

The invention discloses a clinical decision support system for treating pelvic adhesive infertility through combination of traditional Chinese medicine and western medicine, relates to the technical field of medical health and artificial intelligence crossing, and assists doctors in formulating personalized schemes, covering screening, diagnosis, scheme generation, curative effect evaluation, adaptation to gynecology of hospitals at the second level and above, acquisition of western medicine images, laboratory and gynecology data and diagnosis and treatment of pelvic adhesive infertility. Performing preprocessing filling missing values, marking abnormal values, western medicine disease differentiation, traditional Chinese medicine syndrome differentiation and correlation to form a combined diagnosis report, and marking a basis; matching traditional Chinese and western medicine schemes, and combining individual difference adjustment to generate a scheme containing a period and review time; and review data grading evaluation is carried out, reasons of invalid patients are analyzed, and a scheme is optimized. The system integrates traditional Chinese and western medicine diagnosis and treatment, improves diagnosis accuracy and scheme suitability, identifies drug interaction in advance to guarantee medication safety, dynamically evaluates the curative effect and adjusts the scheme, realizes full-period management, provides reference for doctors, adapts to different medical scenes, and improves the treatment effect.

The invention provides a traditional Chinese medicine disease identification method and system based on vegetative nervous system disorder, and the method comprises the steps: collecting traditional Chinese medicine symptom text data and physiological index data of vegetative nervous system disorder of a patient, and storing the collected data in a patient information database; performing data preprocessing on the collected data, extracting feature information of traditional Chinese medicine symptom text data and physiological index data, establishing association rules of symptom types and corresponding feature information and physiological indexes based on identity information of patients, and obtaining a standard training data set; constructing a cognitive identification model based on a deep learning network, inputting the standard training data set into the model for iterative training, and outputting a conditional probability of a symptom type; according to the method, traditional Chinese medicine symptom texts and multi-dimensional physiological indexes are fused, a dynamic identification framework is constructed, and precise personalized diagnosis of vegetative nervous system disorder traditional Chinese medicine diseases is achieved; deep learning and adaptive threshold adjustment are combined to improve the precision of traditional Chinese and western medicine combined diagnosis and treatment.

The invention relates to the technical field of data processing, in particular to a traditional Chinese and western medicine rehabilitation factor analysis method and system for osteoporotic pain, and the method comprises the steps: obtaining reference patient data, obtaining a diseased region based on a reference focus image, obtaining a region monitoring stress set based on a monitoring region and the diseased region, obtaining a scale value by using the influence disease name set and the reference patient data, obtaining an initial historical data set, retrieving a target historical data set from the initial historical data set by using the reference patient data, the regional monitoring stress set and the scale value, obtaining a component index set, and obtaining a component index set; screening the target historical data set by using the component index set to obtain a screened historical data set, obtaining an evaluation value set based on the screened historical data set, obtaining an evaluation data sequence according to the evaluation value set, and realizing analysis of the traditional Chinese and western medicine rehabilitation factors based on the evaluation data sequence. According to the invention, the intelligent degree and accuracy of processing the historical data can be improved.

The invention relates to the technical field of biological medicines, and discloses a traditional Chinese medicine composition for treating rhinitis and a preparation method thereof. The traditional Chinese medicine composition is prepared from the following components in parts by weight: 1 to 8 parts of fructus xanthii, 3 to 8 parts of flos magnoliae, 5 to 20 parts of radix saposhnikoviae, 15 to 20 parts of herba menthae, 5 to 10 parts of radix scutellariae, 1 to 10 parts of periostracum cicadae, 1 to 5 parts of fructus arctii, 0.5 to 4 parts of trametes robiniophila mycoplasm, 0.01 to 0.1 part of zinc oxide nanoparticles, 12 to 20 parts of hydroxymethyl chitosan, 2 to 5 parts of poloxamer 407 and 1 to 3 parts of poloxamer 188. According to the traditional Chinese medicine composition for treating rhinitis and the preparation method, the trametes robiniophila mycoplasm and the zinc oxide nanoparticles cooperate with the fructus xanthii, the flos magnoliae, the radix saposhnikoviae, the herba menthae, the radix scutellariae, the periostracum cicada and the fructus arctii to jointly treat allergic rhinitis. The traditional Chinese medicine and western medicine combined method is adopted, inflammatory response is relieved, the immunologic function of a patient is enhanced, meanwhile, medicine use is reduced, and wide application prospects are achieved.

The invention provides a concept-semantic migration clinical auxiliary system which maps traditional medical diagnosis (such as liver fire hyperactivity) to a modern medical semantic space and automatically prompts corresponding western medicine examinations (ALT, blood pressure and the like). Based on a DIKWP semantic model, the system performs parallel reasoning on western medicine diagnosis and a traditional conditioning scheme, and an intelligent layer comprehensively outputs traditional and western medicine combined optimization suggestions. A doctor interface visually displays a mapping result and a joint scheme, and supports interactive adjustment. The system helps doctors to quickly convert traditional diagnosis into quantitative basis, avoids missed diagnosis, and improves comprehensiveness and personalization of diagnosis and treatment decisions. The system is suitable for hospital outpatient service, multidisciplinary consultation and basic telemedicine, promotes cooperation of traditional Chinese medicine and western medicine, and has wide application prospects and intellectual property values.

The application provides a traditional Chinese and western medicine combined whole-process nursing management system for tumor patients, relates to the field of intelligent health management, and first collects physiological, exercise, diet and psychological condition data of the tumor patients, then identifies potential health risks of the tumor patients by analyzing the physiological, exercise and diet data, simultaneously evaluates the positivity of the patients according to the psychological condition data, and subsequently inputs all the collected data and the identification and evaluation results into a traditional Chinese and western medicine combined nursing health management suggestion engine based on a large language model to generate traditional Chinese and western medicine combined nursing health management suggestions conforming to the actual conditions of the tumor patients. In this way, comprehensive and personalized health management services can be provided for the tumor patients.

The invention discloses a pancreatic cancer traditional Chinese medicine external application treatment targeted positioning system based on western medicine imaging omics, and relates to the technical field of traditional Chinese medicine and western medicine combined tumor treatment, and the system comprises a data acquisition module which obtains a PET-CT image, an enhanced MRI image and a body surface three-dimensional scanning point cloud of a patient; the registration and fusion module is used for performing registration, fusion and segmentation on the PET-CT image and the enhanced MRI image to extract a geometric center and a metabolic gradient vector of a tumor region; the nerve infringement recognition module is used for recognizing a nerve infringement area by enhancing the MRI image and generating a nerve influence domain; the coupling point generation module is used for calculating the minimum Euclidean distance between the geometric center and the nerve influence domain, and generating a coupling point if the minimum Euclidean distance is smaller than a preset threshold value; otherwise, projecting the nerve influence domain to the tumor boundary along the metabolic gradient vector, and selecting the maximum value point as the coupling point; the three-dimensional coordinate mapping module is used for mapping the coupling points to a body surface three-dimensional scanning point cloud and outputting an external application target center; it can be ensured that the medicine accurately acts on the tumor metabolism core, and the treatment effect is improved.

This invention relates to the field of integrated traditional Chinese and Western medicine and intelligent computing, and particularly to a method and system for intervening in diabetes treatment based on the resilience of complex networks and meridian acupoints. The method includes: constructing a meridian network topology model with acupoints as nodes and meridian connections as edges, and extracting topological features; establishing a node activity dynamics model, and dynamically simulating the functional state and interactions of acupoints through refined dynamic equations; collecting multi-time-point and multi-acupoint observation data from patients, fusing it with the topological features, and using a resilience assessment model to determine whether the meridian system has the ability to stabilize and recover blood sugar; for non-resilient states, calling an intervention library and generating personalized acupuncture intervention plans through intervention simulation and optimization algorithms. This invention achieves quantitative modeling of traditional Chinese medicine meridian theory and integrates traditional Chinese and Western medicine, solving the problems of difficulty in quantifying traditional Chinese medicine theory and lack of personalization and standardization in intervention plans in traditional diagnosis and treatment, thereby improving the efficiency and effectiveness of diabetes diagnosis and treatment.