76 results about "Clinical case" patented technology

The invention belongs to the technical field of knowledge visualization, and discloses a traditional Chinese medicine acupuncture knowledge visual display system based on a knowledge graph. Comprising the steps that a traditional Chinese medicine ancient book data acquisition unit, a clinical case data acquisition unit and an ultrasonic image data acquisition unit acquire data and integrate the data into traditional Chinese medicine acupuncture data, and the traditional Chinese medicine acupuncture data is preprocessed to obtain perfect traditional Chinese medicine acupuncture data; constructing a knowledge graph based on the perfect traditional Chinese medicine acupuncture data; constructing an optimization network model to optimize the knowledge graph to obtain a high-quality knowledge graph; constructing an incremental learning framework, updating the high-quality knowledge graph based on the incremental learning framework, and outputting a real-time updated knowledge graph; constructing an interactive three-dimensional human body model based on the real-time updated knowledge graph; based on the real-time updated knowledge graph and the interactive three-dimensional human body model, outputting an executable medical strategy for the application case, and sending the executable medical strategy to the student terminal; and the teaching quality is improved while knowledge visualization is realized.

The invention discloses a traditional Chinese medicine knowledge retrieval enhancement generation method and device, which can be applied to scenes such as intelligent health consultation service, primary medical auxiliary diagnosis, traditional Chinese medicine education training, traditional Chinese medicine knowledge popularization, remote medical support, traditional Chinese medicine scientific research assistance, health management platforms and the like. According to the traditional Chinese medicine knowledge retrieval enhancement generation method and device, after the original input of the user is optimized to obtain the optimized query text, a double-path retrieval strategy is adopted, information is retrieved from the knowledge graph and the clinical medical record vector database at the same time, the retrieved information is organized into a structured context, and the search efficiency is improved. As input of large model reasoning, the structured context effectively integrates traditional Chinese medicine theoretical knowledge and practical experience, comprehensive reference information is provided for the large model, the knowledge limitation and illusion problems existing when the LLM processes traditional Chinese medicine problems can be effectively solved, and the LLM can provide professional, accurate and interpretable traditional Chinese medicine diagnosis services.

The invention discloses a diagnostic wax pattern digital manufacturing method and system, a product and a medium, and relates to the field of image processing.The method comprises the steps that oral cavity data of a target patient are obtained according to a three-dimensional oral cavity scanner, facial feature data of the patient are synchronously collected through a facial scanner, and the oral cavity data are converted into a first digital model; converting the facial feature data into a second digital model, extracting key parameters of teeth of the target patient based on the first digital model, marking a to-be-modified area on the first digital model based on the personalized demand information, extracting a key control point in the to-be-modified area, extracting a repair parameter standard value from a clinical case database, and repairing the target patient according to the repair parameter standard value. Constructing an initial digital veneering model based on the parameter standard values; and converting the personalized demand information into a target adjustment amount of the key control point, and modifying the initial digital veneering model according to the target adjustment amount to obtain a digital diagnosis wax pattern. By implementing the method, the manufacturing accuracy of the oral cavity repairing and diagnosing wax pattern can be improved.

The invention discloses a traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data, and relates to the technical field of traditional Chinese medicine informatization, and the system comprises a multi-source data collection and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit. The built-in functions of the multi-source data acquisition and integration unit comprise data sources and data integration, the data sources comprise clinical medical record data, health monitoring data, ancient medical registration literature data and modern medical examination data, and the data integration comprises data cleaning, data standardization and data fusion; the built-in functions of the big data analysis and mining unit comprise disease and syndrome type correlation analysis, prescription curative effect evaluation and optimization, personalized health management analysis and medicine research and development auxiliary analysis, and the operation steps of the disease and syndrome type correlation analysis comprise feature extraction, machine learning modeling and model evaluation and optimization.

The invention relates to the technical field of medical health monitoring, and particularly discloses a chronic disease patient physical examination data and complication nursing monitoring system based on the Internet of Things, multi-dimensional physical examination data such as vital signs and blood biochemical indexes of a patient are collected in real time through a multi-source sensing equipment network, and an individualized data stream is constructed; extracting parameter collaborative change characteristics by adopting multi-time scale analysis, and constructing a dynamic physiological characteristic spectrum; identifying the abnormal offset by calculating the deviation degree of the feature vector distribution and the reference distribution; based on intelligent matching of the spatial distribution features of the feature vectors and a clinical case library, generating structured early warning information including risk assessment and personalized nursing schemes; and finally, visual display and preventive nursing intervention of the complication risk evolution process are realized.

The invention relates to the technical field of medical training equipment, in particular to a critical care ultrasonic image training system, which comprises a clinical data acquisition module for acquiring critical clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the training scene construction module is used for constructing a high-fidelity three-dimensional training scene according to severe clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the virtual ultrasonic practical operation module simulates the operation of an ultrasonic probe based on a high-fidelity three-dimensional training scene, and generates an ultrasonic image corresponding to an anatomical part in real time; the intelligent skill assessment center assesses operation normalization and diagnosis accuracy through practical operation data and real-time generation of an ultrasonic image corresponding to an anatomical site in combination with an improved ResNet-LSTM model, and an assessment result is obtained; and the personalized teaching unit generates a customized training scheme and knowledge strengthening content according to the evaluation result in combination with the learning track of the student. Therefore, the problems of insufficient dynamic scene simulation, poor authenticity and the like in the prior art are solved.

The invention discloses a traditional Chinese medicine data record management platform and method adopting a knowledge graph, and particularly relates to the technical field of data management. A plurality of traditional Chinese medicine clinical cases are collected, a traditional Chinese medicine image thinking feature data set is constructed, a fuzzy clustering algorithm is utilized to extract continuous image feature modes, an image feature mode library is established, and symbolic mapping is performed to form a preliminary knowledge graph. An enhanced knowledge graph is constructed through non-discretization enhancement processing, an iterative adjustment model is constructed based on mapping distortion degree analysis, optimization adjustment of the structure of the enhanced knowledge graph is achieved, finally, a traditional Chinese medicine data management knowledge graph is constructed, semantic mapping and intelligent reasoning of new patient diagnosis and treatment data can be achieved, and the diagnosis and treatment efficiency is improved. And the digital expression ability of traditional image thinking and the intelligent support level of diagnosis and treatment decision are effectively improved.

The invention discloses a traditional Chinese medicine clinical auxiliary decision making system and method based on a multi-mode large language model. According to the method, through a multi-modal information perception and fusion step, visual feature extraction is carried out on a tongue picture image, and the tongue picture image is fused with clinical text semantics; through a case matching step of retrieval enhancement, similar cases are retrieved from a clinical case knowledge base; a clinical auxiliary evaluation report including syndrome discrimination, diagnosis conclusion, traditional Chinese medicine prescription and reasoning process is generated through a context-aware diagnosis generation step; and the clinical rationality of an output result can be ensured by adopting field customization indexes through specialized evaluation steps. A corresponding system comprises a tongue diagnosis generator, a clinical case knowledge base, a diagnosis generator and other components, and end-to-end clinical decision support is achieved. According to the method, the problems of difficulty in integrating multi-modal information, lack of professional data sets and the like in traditional Chinese medicine diagnosis are effectively solved, and doctors are assisted to improve the accuracy and reliability of diagnosis results.

The invention relates to the technical field of intelligent examination systems, in particular to an intelligent test paper composition method, a medical examination system, equipment and a medium. The method comprises the following steps: firstly, receiving department examination demand parameters, retrieving a test question set meeting conditions from a clinical case test question bank to form a candidate test question pool, and then intelligently screening candidate test questions by utilizing a preset clinical diagnosis and treatment dynamic model to obtain a preliminary test question combination; analyzing high-frequency clinical examination point features in hospital historical examination data, and performing optimization adjustment in combination with knowledge point distribution in the preliminary test question combination; and by evaluating the clinical difficulty balance degree and the diagnosis and treatment knowledge point coverage rate in real time, the test paper composition parameters are dynamically adjusted until preset standards are met. By introducing the clinical diagnosis and treatment dynamic model and historical examination data analysis, intelligent construction of clinical relevance between test questions and dynamic optimization of knowledge point distribution are realized, so that the generated test paper more accurately evaluates the actual diagnosis and treatment ability of medical personnel.

The invention discloses a cardiovascular three-dimensional optical coherence imaging system, and belongs to the technical field of medical instruments. A cardiovascular three-dimensional optical coherence imaging system comprises a host integration unit and an auxiliary diagnosis unit. The system solves the problem that accurate diagnosis and treatment requirements are difficult to meet in the prior art, interference signals are generated through the host integration unit, high-speed data processing is carried out in combination with the GPU, high-resolution cardiovascular tissue two-dimensional and three-dimensional images can be generated, powerful support is provided for early diagnosis and treatment of diseases, and the system is suitable for popularization and application. The auxiliary diagnosis unit establishes a cardiovascular disease diagnosis knowledge base based on a large amount of clinical case data, automatically identifies plaque types in a three-dimensional image by using a machine learning algorithm, can quickly and accurately provide diagnosis reference for doctors, and calculates a calcification radian score based on the distribution and geometric morphology of calcified plaques, so that the accuracy of diagnosis is improved. And the severity of lesion can be evaluated more accurately by quantitatively analyzing the poor attachment degree of the stent and the tissue prolapse volume.

The soft tissue puncture interventional operation robot comprises a tail end puncture actuator connected to the tail end of a mechanical arm, the tail end puncture actuator comprises a mounting base and an arc positioning module connected to one side of the mounting base and provided with an arc guide rail, and an ultrasonic probe positioning and multi-dimensional sensing module is connected to the bottom of the mounting base and extends downwards; the rotary positioning and puncture guiding module comprises a puncture guiding assembly and a rotary positioning module, the puncture guiding assembly clamps a puncture needle and is rotatably arranged, and the rotary positioning module is slidably arranged on the arc-shaped guide rail and used for driving the puncture guiding assembly to rotate; the rotation direction of the puncture guide assembly is perpendicular to the sliding direction of the rotary positioning module, ultrasonic images can be fed back in real time in the operation, the focus and the position and posture of a puncture needle can be displayed, the puncture guide assembly can have two operation freedom degrees, the relative movement range and angle are larger, ultrasonic adjustment and secondary puncture planning in the operation are supported, and the operation efficiency is improved. The method is suitable for most clinical cases.

The invention relates to the technical field of traditional Chinese medicine formula matching, in particular to a traditional Chinese medicine formula intelligent matching system which comprises a data acquisition module, a data processing module, a model training module and a prescription matching module. The data acquisition module is used for acquiring medicinal material and formula information from traditional Chinese medicine literatures, a medical database, experimental research results and clinical cases through a data interface and a crawler technology, and storing the medicinal material and formula information into a unified database; the data processing module is used for performing structured processing on the acquired unstructured text data by adopting an NLP technology and extracting names, indications, doses, pharmacological actions and incompatibility of the medicinal materials; the model training module is used for carrying out classification and correlation analysis on the prescription combination based on a machine learning algorithm and generating model parameters for prescription matching; according to the prescription matching module, a user can perform retrieval according to various screening conditions such as a purpose, a dosage form, an action mechanism and a region, and a system screens a prescription combination which most accords with the conditions from a database according to a matching algorithm and a training model.

The invention discloses a rehabilitation assistive device assessment method based on multi-agent and RAG technology. The method comprises the following steps: constructing a multi-agent system which comprises a rehabilitation physician agent, an auxiliary tool engineer agent, a nurse agent and a user interaction agent; building a dynamic knowledge base based on an RAG technology, wherein the dynamic knowledge base comprises an auxiliary tool product database, a rehabilitation medicine knowledge base, a clinical case base and an industrial standard base; interacting with the user, and dynamically adjusting the question mode, the language style and the question sequence according to the user type and the answer content; retrieving in a dynamic knowledge base according to the obtained information, and respectively outputting professional evaluation suggestions; and according to the collaborative decision model, integrating professional evaluation suggestions of the rehabilitation physician intelligent agent, the auxiliary tool engineer intelligent agent and the nursing personnel intelligent agent to generate a multi-dimensional auxiliary tool evaluation report and recommendation scheme. According to the method, the efficiency of the evaluation process of the assistive device is higher, and the evaluation result is more accurate and effective.

The application provides a rule cultivation quality full life cycle monitoring method and system, which comprises the following steps: in a training period, collecting operation logs of rule cultivation personnel in multiple clinical information systems, and reconstructing the operation logs into behavior trajectory sequences reflecting clinical core capabilities; evaluating the quality deviation degree of the rule cultivation personnel in the clinical case processing process based on the behavior trajectory sequences; obtaining the skill mastering vector of the rule cultivation personnel in each clinical core capability based on the quality deviation degrees of multiple clinical operations in a historical period and a preset capability dimension mapping rule; generating the capability evolution characteristics of the rule cultivation personnel in the training period according to the change law of the skill mastering vector over time; and generating a multi-dimensional evaluation result including skill maturity, risk deviation degree, diagnosis and treatment logic consistency and clinical efficiency factors based on the capability evolution characteristics and the quality deviation degree. The application improves the timeliness and accuracy of rule cultivation quality evaluation.

The invention relates to the technical field of medical care, and discloses a female cervical cancer prevention and detoxification system which comprises a body fluid monitoring module used for monitoring the circulation condition of body fluid in a female body, the body fluid monitoring module comprises an implantable micro sensor network, and the sensor network is distributed at key parts of the human body. The sensor is used for collecting flow velocity, flow direction and component change data of body fluid in real time; the toxin analysis module is used for analyzing types and contents of toxins in the body fluid, and the toxin analysis module comprises a high-precision spectrum analyzer, a chromatographic analyzer and a biochemical sensor array and is used for carrying out qualitative and quantitative analysis on the toxins in the body fluid. Body fluid circulation data are collected in real time through the body fluid monitoring module, the toxin analysis module is combined to carry out accurate qualitative and quantitative analysis on the types and content of toxins in body fluid, and then a deep learning algorithm based on artificial intelligence in the scheme generation module is utilized; and screening the most suitable detoxification scheme from a medical knowledge base and a clinical case database.

The invention relates to an intestinal tissue inflammation injury treatment target spot and application thereof, and belongs to the technical field of biological medicine. It is found that the level of DPF2 in intestinal tissue inflammation damage can significantly affect regeneration and repair of intestinal tissue, high-level DPF2 can promote intestinal tissue inflammation damage, and after the DPF2 gene is knocked out, intestinal tissue inflammation damage can be significantly reduced. Clinical intestinal tissues are subjected to DPF2 immunostaining, clinical cases are divided into a high-inflammation injury group and a low-inflammation injury group, the high-inflammation injury group shows a higher DPF2 level, it is indicated that DPF2 can indeed serve as a new index for evaluating and diagnosing intestinal tissue inflammation injury, and the DPF2 has a good clinical application prospect.

This application discloses a method and apparatus for constructing a Traditional Chinese Medicine (TCM) diagnostic and treatment knowledge model. The method includes: transforming a general-purpose basic language model into a model specifically for the TCM field to obtain a basic TCM model; controlling the obtained basic TCM model to learn diagnostic and treatment thinking within the TCM field to obtain a basic TCM diagnostic and treatment model; aiming to enhance the flexibility of logical reasoning in the obtained basic TCM diagnostic and treatment model, controlling the obtained basic TCM diagnostic and treatment model to learn the diagnostic reasoning paths of clinical cases in the TCM field to obtain a TCM reasoning diagnostic and treatment model; controlling the obtained TCM reasoning diagnostic and treatment model to learn the unique TCM knowledge and unique diagnostic and treatment thinking of a target renowned physician to obtain a unique TCM diagnostic and treatment model; and controlling the obtained unique TCM diagnostic and treatment model to favor the unique diagnostic and treatment thinking of the target renowned physician to obtain a TCM diagnostic and treatment knowledge model. This improves the diagnostic accuracy and clinical decision-making reliability of the model.

This application provides a method and apparatus for generating traditional Chinese medicine (TCM) prescriptions based on multi-task joint optimization. The method includes: constructing a training set based on historical clinical case data, the training set comprising multiple samples and sample weight labels, each sample containing clinical text features, TCM prescription labels, and prescription set labels; constructing an enhanced training set based on the training set; training a multi-task joint optimization prescription generation model based on the enhanced training set; predicting TCM prescription sequences using an autoregressive approach, with the TCM prescription labels as the supervision signal; a set prediction branch used to predict the presence or absence of each TCM herb in the global TCM dictionary based on the semantic representation of clinical text features, with the prescription set labels as the supervision signal, and introducing sample weight labels into its loss function to enhance attention to low-frequency TCM herbs; training the model by weighted fusion of the loss functions of the above two branches; and generating TCM prescriptions using the trained model.

The invention discloses an otology medicine knowledge base construction method and device and a storage medium. The method comprises the following steps: acquiring an otology knowledge data set, an otology clinical case data set and a plurality of ear CT images, identifying a plurality of first medical entity words in the otology knowledge data set and a plurality of second medical entity words in the otology clinical case data set, and extracting quantitative image features corresponding to a plurality of image sub-regions in the plurality of CT images; according to the multiple first medical entity words, the multiple second medical entity words and the quantitative image features corresponding to the multiple image sub-regions, a heterogeneous graph network is constructed, and the otology medicine knowledge base is generated based on the heterogeneous graph network, so that image data-clinical parameters-otology professional knowledge data can be effectively integrated; the otology professional knowledge is deeply associated with the image data and the clinical parameters, and unified structured data is generated, so that the otology medical knowledge base capable of integrating the otology image data and the clinical parameters is constructed.

This application provides a method, apparatus, device, and storage medium for self-correction of a medical visual language model based on a dynamic experience base (DEKB), relating to the field of medical visual language processing technology. The method includes: when the initial diagnostic result of the medical visual language model for a current clinical case does not match the fact label, constructing the current case as a structured experience unit and storing it in a dynamic experience knowledge base; upon receiving a query, retrieving historical experience cases related to the new query from the dynamic experience knowledge base; using the historical experience cases as contextual prompts to guide the medical visual language model in chain-like thinking, generating a corrected reasoning result. By constructing an endogenous dynamic experience knowledge base, designing a deep attribution analysis mechanism, and employing a dual-threshold retrieval algorithm, this application enables DEKB to transform the model's historical errors into structured knowledge that can be used for future reference, significantly improving the robustness and generalization ability of medical model image diagnosis reasoning.

The invention discloses an NK cell exosome, a preparation method thereof and application of the NK cell exosome in preparation of drugs for targeted treatment of rectal cancer through meridian points, and belongs to the field of biological medicine and traditional Chinese medicine. The invention provides a method for preparing a high-purity NK cell and a high-concentration and high-potency NK cell exosome. Experimental results show that the NK cell exosome obtained by the method provided by the invention can efficiently kill tumor cells and has dose dependence; animal experiments show that the NK cell exosome prepared by the invention can significantly inhibit tumor growth; clinical cases show that accurate targeted therapy can be realized through meridian point injection of the NK exosome, indexes of a rectal cancer patient are recovered to be normal, and clinical relief is realized. According to the invention, a modern exosome technology and a traditional Chinese medicine meridian point treatment method are combined for the first time, a cell derivative medicine for treating the advanced rectal cancer is provided, and a theoretical and practical basis is provided for clinical treatment of the advanced rectal cancer.

According to the application of the inhibitor in preparation of the medicine for treating solid tumor cancers, NMT1 activity is blocked, myristicylation of CHP1 is reduced, combination of CHP1 and PD-L1 is interfered, and finally localization of PD-L1 on tumor cell membranes is reduced. The up-regulation of the NMT1 under the hypoxia condition and the regulation effect of the NMT1 on PD-L1 membrane localization are verified through various research and analysis means such as bioinformatics analysis and clinical case review as well as cell and animal levels, the key effect of the NMT1 in treatment of hypoxia-related cancers is disclosed for the first time, and the NMT1 is used as a core target of a combined therapy and is used for treating the hypoxia-related cancers. And a new means is provided for cancer immunotherapy and development and preparation of cancer drugs.

This invention provides a medical training system, comprising: a standardized feature library construction module, which breaks down target medical operations into multiple standard steps and defines a standard value range for each step; a competency standard library construction module, which defines multiple competency levels and associates them with corresponding target medical operations; a case provision module, which provides simulated clinical cases according to competency levels; an error recording module, which determines that an operation error is triggered when the monitored operation feature data deviates from the standard value range, and generates a personal error file; and a targeted training module, which, in response to a selection command, retrieves the training scenario of the operation error node and generates a specific training task for the operation error. Therefore, this invention establishes an objective, quantitative, and standardized operation evaluation system, transforming subjective operation evaluation into objective measurement, enabling graded judgment of operation compliance, reducing the subjectivity and variability of human evaluation, and improving the effectiveness of nurse training.

The application discloses a model demonstration teaching aid with an adjusting function for orthodontic and orthognathic head bones, which comprises a skull, the front surface of the skull is hingedly connected with a maxilla, the top end of the maxilla is abutted with a first demonstration mechanism, the bottom end of the maxilla is slidably connected with an upper dental alveolar bone, the inside of the skull is fixedly installed with a connecting mechanism, and the connecting mechanism comprises two left and right symmetrical mandibular branches. The demonstration teaching aid can dynamically demonstrate the process of orthodontic and orthognathic treatment, intuitively present the three-dimensional space changes of the jaw bones and the dentition, help students establish a three-dimensional anatomical cognition, deepen the understanding of the treatment mechanism, support flexible combination of different deformity states through modular design, adapt to various clinical case teaching needs, meanwhile, the demonstration teaching aid can customize the treatment scheme according to the individual conditions of patients, convert the abstract operation process into a concrete dynamic display, significantly improve the efficiency and accuracy of the doctor-patient communication, reduce the understanding deviation of the patients, and enhance the treatment compliance.

The present invention discloses a nerve block simulation training method and related equipment. The method includes: constructing ultrasonic simulation models of different tissue parts of the human body based on standard three-dimensional anatomical structure information and simulated ultrasonic information of different tissue parts of the human body, and associating the ultrasonic simulation models of different tissue parts with the tissue simulator through coordinate information; tracking the relative position information and relative angle information of the simulated ultrasonic probe and the tissue simulator, and generating corresponding simulated ultrasonic images through the ultrasonic simulation model; tracking the position information and angle information of the simulated nerve block puncture needle in the tissue simulator, taking the intersection of the coordinate range of the puncture needle and the coordinate range of the simulated ultrasonic probe section, obtaining the coplanar coordinate range of the puncture needle and the simulated ultrasonic probe section, and converting the point-to-point into the simulated puncture needle ultrasonic image. It solves the problem that the simulated puncture site is limited, the clinical situation cannot be truly simulated, the efficiency of the transformation of simulation teaching to clinical practice is reduced, and the application value of actual clinical cases is lacking.

This application relates to the field of educational informatization technology and discloses an artificial intelligence-based virtual simulation teaching system for medical physiology, comprising: a system for collecting, processing, and encrypting and storing multi-source teaching data, including job requirement data, student operation data, voice interaction data, and clinical case data; a virtual simulation teaching module for constructing virtual diagnosis and treatment scenarios and conducting simulation teaching; a behavior analysis and demand adaptation module for correlating and analyzing job requirement data and learning behavior data, and outputting a behavior analysis report; a moral education evaluation module for quantifying medical ethics elements into constraint indicators and generating a moral education evaluation report in conjunction with the behavior analysis report; and an industry-education collaboration module for establishing a data transmission channel, accessing external data to update the simulation scenario, and enabling two-way interaction of teaching and evaluation-related data. This application improves the adaptability and evaluation accuracy of medical virtual simulation teaching.

The application discloses a test paper and a kit for rapidly detecting echinocytes, and the test paper is composed of a support plate, an anticoagulant sample pad, a connecting pad, a reaction color developing area and an absorption pad; wherein the anticoagulant sample pad and the absorption pad are respectively arranged on the opposite sides of the support plate, the anticoagulant sample pad is connected to one end of the reaction color developing area through the connecting pad, and the other end of the reaction color developing area is connected with the absorption pad. The application is mainly based on a colloidal gold detection method for identifying echinocytes by detecting double-stranded DNA combined on the surface of red blood cells, and the detection method using the test paper and the kit of the application can be realized without specific sites and equipment, is simple, fast and high in accuracy. The test paper and the kit of the application can be used for all clinical cases diagnosed by detecting echinocytes.

The invention relates to the technical field of medical management, in particular to a big data-based medical and health management system, which comprises a medical and health management system, and the health management system comprises a disease prediction system, a hospital management system, a patient management system and a data safety management system. According to the medical and health management system based on the big data, a power inversion algorithm based on a minimum mean square error (LMS) algorithm is applied in a transmission process, and the anti-interference capability of a transmission signal is enhanced, so that the security of system data is improved, user information leakage is prevented, and the user experience is improved. The problems that in the background technology, user information cannot be protected in the using process, user information leakage is caused, and data safety is low are solved, the system collects a large amount of user health data information, predicts patient conditions in combination with a clinical case database, generates detection reports and health suggestions, and improves the user experience. Potential diseases of a user can be quickly predicted, and treatment suggestions can be provided.

The invention provides a processing method and device for clinical cases, and the method comprises the steps: generating a unique hash value through a first fingerprint feature vector corresponding to a fingerprint of an uploaded user and a first identification code configured for a target clinical case when the target clinical case is uploaded, and then obtaining a determined first random sequence, and determining characters needing to be replaced in sensitive fields in the target clinical case according to the first random number sequence, selecting a first target character from a character candidate set configured for the characters needing to be replaced according to the first random number sequence, and replacing the characters needing to be replaced by using the first target character, by means of the method, encryption can be completed, sensitive information can be hidden, the integrity and readability of data are not damaged, and the value of the clinical case during secondary utilization is improved.