29 results about "Treatment evaluation" patented technology

The invention discloses an injury condition simulation system based on treatment feedback and a treatment evaluation method, and relates to the technical field of injury condition treatment simulation, and the system comprises a simulation definition module which generates initial vital sign parameters and natural evolution increment under a non-intervention condition according to an injury condition type defined in a treatment scene, the physical injury condition simulation dummy comprises a physical injury condition simulation dummy, a treatment detection module for analyzing and quantifying treatment actions of practicers and generating corresponding intervention signals, a central control module for calculating and outputting vital sign parameters and body surface performance parameters based on pathophysiology laws and an intervention mapping model, and a state feedback module for driving each execution unit of the physical injury condition simulation dummy. The system can analyze and score execution parameters of each treatment action of practicers, generate action quality indexes and intervention signals, provide quantifiable and comparable operation feedback for students, and map treatment action effects to dynamic update of injury states, so that vital signs and body surface manifestation change along with operation.

The invention discloses a diabetic foot ulcer monitoring and treatment evaluation device and method based on structured light imaging. The device comprises an image acquisition module, a mechanical arm module, a man-machine interaction module and an information processing module. The mechanical arm module comprises a multi-degree-of-freedom mechanical arm, the image acquisition module comprises at least one structured light image acquisition device, and the mechanical arm drives the image acquisition module to move, acquires three-dimensional point cloud images of feet from different angles and synchronously acquires space coordinates and deflection angles of the image acquisition module; and the information processing module is used for constructing a foot three-dimensional point cloud model by utilizing the three-dimensional point cloud image and the corresponding space coordinates and deflection angles, importing the foot three-dimensional point cloud model into the trained diabetic foot detection and treatment evaluation model for analysis, and displaying a prediction result through the man-machine interaction module. According to the method, the foot three-dimensional point cloud model is reconstructed, the reconstructed model is identified, the area, the volume and the position of the wound surface are evaluated, and then the treatment effect of the current mode can be evaluated.

The invention relates to the technical field of data detection, and discloses a micro-plastic pollution abatement effectiveness detection method based on big data coupling. In the aspect of pollution traceability, the method adopts a mode of combining multi-dimensional feature acquisition and a feature evolution model; the problem of traceability failure caused by feature drift in a traditional method is solved, the traceability effective time is prolonged, and the traceability accuracy is improved. In the aspect of migration prediction, the multi-process coupling model and physical and chemical parameter dynamic association mechanism established by the method can accurately simulate complex interaction behaviors in the micro-plastic transportation process, and the prediction error of a migration path is reduced. In the aspect of governance evaluation, the governance process conversion behavior analysis method and the multi-dimensional evaluation system established by the method can accurately distinguish true removal, pollution transfer and form conversion, and the situation that a governance scheme with appearance reaching the standard but the actual risk not reduced is misjudged as an effective scheme is avoided.

The invention discloses a multi-unit coupled VOCs treatment evaluation method and system, and solves the problems that VOCs treatment multi-unit combination scheme design and evaluation depend on an experience-driven method and a numerical simulation tool method and have many defects. The method comprises the following steps: constructing a database including VOCs emission scenes and VOCs types of each scene, randomly generating multiple different types of proportion simulation cases, scene air volumes and concentration gradient ranges in each scene, determining each VOCs treatment multi-unit combination and an effect evaluation function thereof, establishing a simulation emission working condition combination, and calculating the VOCs treatment effect of each multi-unit combination. And calculating effect values of all the multi-unit combinations of all the simulated emission working conditions, and selecting an optimal effect value to obtain a corresponding VOCs treatment scheme. And inputting a to-be-evaluated emission working condition, performing simulated emission working condition matching by the database, and obtaining a VOCs treatment scheme corresponding to the matched simulated emission working condition. According to the method, the design cost of small and medium-sized enterprises in the actual VOCs emission working condition is reduced, the process verification time is shortened, and the industrial VOCs treatment scheme standardization problem is effectively solved.

The application discloses a kind of myasthenia gravis dynamic diagnosis and treatment path optimization method and system based on multimodal fusion, the method includes: the multimodal data of myasthenia gravis patient is collected, and its feature extraction and enhancement are carried out to obtain multimodal feature;Based on multimodal feature, construct three-dimensional dynamic feature matrix and carry out cross-modal fusion, obtain target fusion feature;Target fusion feature is used to train multi-task depth network model, and the diagnosis and treatment path optimization model is obtained;According to preset interval, data is dynamically collected and input model, and diagnosis and treatment evaluation result is output to realize diagnosis and treatment path dynamic optimization.Due to the application, through multimodal fusion and dynamic optimization mechanism, break the limitation of traditional static path diagnosis and treatment, effectively excavate patient multidimensional disease characteristics, improve diagnosis and treatment evaluation accuracy, realize diagnosis and treatment path dynamic optimization, effectively reduce unreasonable diagnosis and treatment behavior, reduce diagnosis and treatment cost, improve efficiency, provide intelligent support for clinic, improve diagnosis and treatment effect.

The invention belongs to the field of underground engineering, and particularly relates to a simulation test detection method for the whole insertion and extraction process of a steel sheet pile. The simulation device is manufactured, a soil layer of a certain depth unit is laid in a model box of the simulation device, the steel sheet pile inserting and driving condition at any stratum depth can be effectively simulated through stacking and loading, quantitative indexes before and after steel sheet pile inserting and driving are established, and the disturbance condition of inserting and driving on a soil body is effectively represented; and the recovery rate indexes and the comprehensive treatment evaluation indexes of the disturbed area and the undisturbed area are established, so that the comprehensive evaluation of the treatment effect is realized, an objective evaluation system based on core quantitative indexes such as soil compactness change, ground settlement (displacement), strength and the like is established, and the limitation brought by traditional single dependence on qualitative analysis is overcome.

An adaptive radiotherapy system (100) with biophysical real-time monitoring of the tissue response, wherein the system (100) comprises: a module (1) for real-time biophysical tissue response monitoring, configured to acquire live data on the physiological response and tissue response from a treatment area of ​​a patient during irradiation; a module (2) for localizing patient anatomy and motion detection, configured to detect position changes, organ movements and target shifts in real time; an engine (3) for adaptive treatment planning and dose recalculation, configured to dynamically update a radiotherapy treatment plan based on data received from the module (1) for real-time biophysical monitoring of tissue response and from the module (2) for localizing patient anatomy and motion detection; an engine for predictive modeling of tissue response (4) configured to estimate short-term tissue response, tumor response and normal tissue tolerance using patient data from current and previous sessions; an interface for controlling and modulating the beam (5) which is functionally coupled to a radiation delivery device and configured to modify one or more beam parameters in real time; a safety check and treatment lock control (6) configured to compare current treatment conditions with one or more allowable thresholds and selectively interrupt, stop, or release radiation delivery; and a module (7) for clinical review, data logging and treatment evaluation, configured to store treatment response data, generate session-related adjustment protocols and provide one or more recommendations for subsequent fractions, wherein the system (100) adaptively modifies the radiation output in response to continuously monitored biophysical tissue conditions of the patient.

The invention provides an automatic analysis method for severity of cochlea lost hydrops. The method comprises the following steps: acquiring a microscopic image of a certain animal cochlea pathology; preprocessing the microscopic image; automatically segmenting the cochlea structure of the preprocessed microscopic image; automatically extracting a cochlear tube contour surrounded by a vestibular membrane and a basilar membrane in a cochlea structure of the microscopic image and a structure contour on the cochlea basilar membrane, and manually correcting the extracted contours; and automatically calculating the ratio of S1 to S and obtaining the analysis result of the severity degree of cochlea lost hydrops based on the artificially corrected area S1 corresponding to the contour of the cochlea tube surrounded by the vestibular membrane and the basilar membrane and the area S corresponding to the contour of the structure on the cochlea basilar membrane. According to the method, the vacancy of quantitative analysis tools for cochlear hydrops is filled, the method serves for otology basic research and vestibular disease research, and more efficient and objective technical support is provided for mechanism research and treatment evaluation of inner ear diseases such as Meniere disease and the like.

The present invention provides a method for providing an orthodontic status and orthodontic treatment evaluation information based on dental scan data of a patient, implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors. The method is characterized by comprising: an initial image acquisition step of, when first dental scan data, which is three-dimensional scan data acquired by photographing the patient's head, is received, acquiring a first dental image, which is an image of the patient's teeth arrangement, on the basis of the received first dental scan data; a correction image acquisition step of, when the acquisition of the first dental image is completed, confirming a teeth arrangement status based on the first dental image through a pre-stored algorithm, and acquiring treatment solution information for correcting the teeth arrangement based on the confirmed teeth arrangement state, wherein acquired is a second dental image, which is an image of predicted teeth arrangement upon completion of the correction based on the acquired treatment solution information; an orthodontic appliance design creation step of, when the acquisition of the second dental image is completed, creating a design of a transparent orthodontic appliance for correcting the patient's teeth arrangement into a teeth arrangement corresponding to the second dental image; an intermediate image acquisition step of, in the process of correcting the patient's teeth arrangement as the patient has on the transparent orthodontic appliance based on the created design, when second dental scan data, which is new three-dimensional scan data, is received, acquiring a third dental image, which is an image of the patient's teeth arrangement being corrected, on the basis of the received second dental scan data; and an orthodontic status information provision step of, when the acquisition of the third dental image is completed, acquiring teeth movement vector information of the patient through the first dental image, the second dental image, and the third dental image, and generating orthodontic status information for orthodontic treatment of the patient on the basis of the acquired teeth movement vector information and providing same to a medical personnel account.

Disclosed are a method and a system for the assessment of the severity of a psychiatric disorder (PD) using measurements of computational and high-order functions in brain organoid neurons.

The application discloses a kind of intelligent health assessment and physiotherapy system and method for Chinese medicine physiotherapy shop.The method is by collecting the multi-modal health data such as tongue image, face image, body posture, gait, plantar pressure of user, according to national standard to build digital mapping of meridian and acupoint, realize individual acupoint positioning and path planning.The system contains intelligent massage head and moxa control temperature box, can real-time collect the parameters such as intensity, pose, temperature, distance of operation process, and combine with sleep monitoring data.Based on the above data, multi-modal fusion analysis is carried out, and the health assessment and physiotherapy scheme containing recommended acupoint, massage and moxa parameters is automatically generated, and safety control and record are carried out during physiotherapy process.Finally, closed-loop optimization of pre-treatment evaluation, treatment monitoring, post-treatment retest and sleep follow-up is formed, to solve the problems of subjective evaluation of Chinese medicine physiotherapy, unquantifiable process, safety dependent on experience and difficult to objectively evaluate the efficacy, and to improve the standardization and safety of physiotherapy service in the shop.

The application discloses a multifunctional treatment and evaluation device and method for varicose veins of lower limbs, which comprises a multifunctional treatment bandage, a treatment evaluation instrument and a host computer, the multifunctional treatment bandage is connected with the treatment evaluation device and is used for actively intervening and monitoring varicose vein positions, the treatment evaluation device is connected with the host computer and is used for signal transmission and processing, and the host computer is used for data analysis and processing and visual operation. The multifunctional treatment evaluation device has the advantages of simple operation, low cost, multiple built-in prescription modes, and the ability of detecting, treating and evaluating the conditions of patients with varicose veins of lower limbs, and has a wide application prospect in the field of treating varicose veins.

This invention relates to a multi-task learning-based integrated nutritional decision-making method and system for examination, diagnosis, treatment, and evaluation, belonging to the interdisciplinary field of clinical medicine and artificial intelligence. This method aims to address the problems of isolated tasks, limited data utilization, and lack of quantitative recommendation and prognostic prediction capabilities in existing nutritional decision-making technologies. The technical solution involves constructing a serial multi-task learning neural network model, sequentially including a feature extraction module, a nutritional diagnosis module, a nutritional treatment recommendation module, and a prognostic and efficacy evaluation module. A joint loss function that dynamically balances the weights of each task and reuses prognostic labels is designed for training. This invention achieves integrated decision-making throughout the entire process of examination, diagnosis, treatment, and prognosis. It can integrate multimodal data to achieve accurate feature extraction, provide personalized quantitative nutritional recommendations, and prospectively predict efficacy to guide clinical intervention, significantly improving the efficiency and accuracy of nutritional decision-making.

The present application belongs to the field of underground engineering, and particularly relates to a simulation test detection method for the whole process of steel sheet pile insertion and extraction. The simulation device is manufactured, and a soil layer of a certain depth unit is laid in a model box of the simulation device. The insertion of the steel sheet pile at an arbitrary stratum depth can be effectively simulated through the heaped load. Quantitative indexes before and after the insertion of the steel sheet pile are established, the disturbance of the insertion to the soil body is effectively represented, the recovery rate indexes of the disturbed area and the undisturbed area and the comprehensive treatment evaluation indexes are established, the comprehensive evaluation of the treatment effect is realized, the objective evaluation system based on the core quantitative indexes of the soil body density change, the surface settlement amount (displacement), the strength and the like is established, and the limitations brought by the traditional simple dependence on the qualitative analysis are overcome.

The invention belongs to the technical field of medicine detection, and particularly relates to an organic electrochemical transistor sensor and method for diabetes diagnosis and treatment evaluation, the organic electrochemical transistor sensor comprises a substrate, an organic semiconductor channel layer, a gate electrode, a source electrode and a drain electrode, a nano material is deposited on the gate electrode, the nano material comprises nano iron oxide and graphene oxide, and the nano iron oxide is deposited on the source electrode. The mass ratio of the ferric oxide to the graphene oxide is 1: 1; according to the invention, the detection accuracy and sensitivity can be improved.

The invention discloses a myasthenia gravis dynamic diagnosis and treatment path optimization method and system based on multi-modal fusion, and the method comprises the steps: collecting multi-modal data of a myasthenia gravis patient, and carrying out the feature extraction and enhancement of the multi-modal data, thereby obtaining multi-modal features; constructing a three-dimensional dynamic feature matrix based on the multi-modal features and carrying out cross-modal fusion to obtain target fusion features; training a multi-task deep network model by using the target fusion features to obtain a diagnosis and treatment path optimization model; and dynamically collecting data according to a preset interval and inputting the data into the model, and outputting a diagnosis and treatment evaluation result to realize dynamic optimization of a diagnosis and treatment path. Through the multi-modal fusion and dynamic optimization mechanism, the limitation of traditional static path diagnosis and treatment is broken, the multi-dimensional illness state characteristics of the patient are effectively mined, the diagnosis and treatment evaluation accuracy is improved, dynamic optimization of the diagnosis and treatment path is realized, unreasonable diagnosis and treatment behaviors are effectively reduced, the diagnosis and treatment cost is reduced, the efficiency is improved, intelligent support is provided for clinic, and the diagnosis and treatment effect is improved.

The invention relates to the technical field of medical care informatics, and discloses a hysteroscope image auxiliary diagnosis and treatment evaluation system fusing traditional Chinese and western medicine multi-mode characterization, which comprises an optical field data acquisition module, a spectral texture orthogonal decoupling module, a heterogeneous flow field dynamic characterization module and a rheological state inversion mapping module, by decoupling specular reflection and diffuse reflection signals, a Qi-blood body fluid operation retardation quantitative index of a fluid drift model relative to an endometrial basement motion model is calculated, a light tissue relative slip vector is generated, a rheological characteristic index is inversed and is mapped to an orthogonal evaluation space in combination with chromaticity characteristics, and the evaluation accuracy is improved. According to the method, a microstate quantification mechanism based on fluid dynamics is constructed, the technical problem that the traditional Chinese medicine body fluid metabolism syndrome lacks objective physical characterization indexes is effectively solved, and the evaluation precision and diagnosis specificity of the pathological and physiological state of the uterine cavity microenvironment are improved.

To provide an ultraviolet treatment evaluation device which can easily and accurately evaluate an ultraviolet treatment effect on matters having a desired ultraviolet sensitivity by a water passage-type ultraviolet treatment device.SOLUTION: An ultraviolet treatment evaluation device 30A includes a detection number acquisition unit 32, a detection rate calculation unit 33, and an evaluation information production unit 34. The detection number acquisition unit 32 passes sample water through an ultraviolet treatment device 10, the sample water containing a synthetic DNA suspended therein which is produced so as to have a number of nucleotide sequences to be denatured by reacting to ultraviolet irradiation, the number corresponding to a predetermined reaction speed for the ultraviolet irradiation, and then acquires the detected number of the nucleotide sequences before denaturation. The detection rate calculation unit 33 calculates a detection rate of the nucleotide sequences in the sample water after passing the water through the ultraviolet treatment device 10 on the basis of the number of the nucleotide sequences in the sample water before doing so. The evaluation information production unit 34 produces, on the basis of the detection rate of the calculated nucleotide sequences, evaluation information on evaluation of an ultraviolet treatment effect on matters having the predetermined reaction speed for the ultraviolet irradiation by the ultraviolet treatment device 10.SELECTED DRAWING: Figure 1

The invention discloses a treatment evaluation method for a Crohn disease patient, which belongs to the crossing field of medical imaging technology and artificial intelligence, and comprises the following steps: step A, patient image data acquisition and preprocessing: acquiring CTE image data of the Crohn disease patient at a specified time point after treatment, and transmitting the CTE image data to a medical image analysis platform for preprocessing, the preprocessing comprises image denoising and alignment; step B, automatic segmentation and feature extraction of a lesion area: a lesion intestinal wall area VOI is sketched through medical image analysis software, an adjacent mesenteric fat area VOI is automatically constructed, image omics features in the VOI are extracted, a feature matrix is formed, and the image omics features comprise texture features, shape features, intensity features and iodine quantitative features; according to the method, mucous membrane healing evaluation is achieved through CTE examination, invasive operation is not needed, pains and risks of enteroscopy are avoided, a patient can accept the method more easily, and the method is especially suitable for multiple dynamic monitoring after treatment.

This invention discloses a method for monitoring and evaluating shipborne wastewater treatment based on high-resolution full-spectrum soft sensing, relating to the fields of water quality monitoring and marine environmental protection. It aims to address the technical problems of existing shipborne water quality monitoring systems, which rely on hardware sensors, have weak anti-interference capabilities, poor model generalization, and cannot accurately analyze the status of each stage of the wastewater treatment system in real time, resulting in an incomplete evaluation system. This method uses high-resolution full-spectrum data as a foundation, integrates soft sensing technology, and constructs a water quality parameter prediction model based on machine learning and self-learning to achieve real-time and accurate measurement of key water quality parameters of shipborne wastewater. Simultaneously, it establishes a comprehensive evaluation index system for the shipborne wastewater treatment system, combining monitored water quality parameters and operational data from each stage to complete status analysis and fault prediction for core stages such as sedimentation, oxidation, and biological treatment.

The invention relates to the field of intelligent medical treatment, in particular to a vascular occlusion reperfusion treatment evaluation method and device based on thrombus permeability and a program product. Comprising the following steps: acquiring a brain image of a patient with acute ischemic stroke; performing responsible blood vessel grading judgment on the brain image to obtain large blood vessel occlusion or medium blood vessel occlusion or far-end small blood vessel occlusion, and when the judgment result is medium blood vessel occlusion, performing thrombus area positioning and measurement on the brain image, calculating thrombus permeability, and determining the thrombus permeability. And performing reperfusion treatment evaluation through the thrombus permeability to obtain an evaluation result of intravenous thrombolysis treatment or intravascular treatment. The application has good clinical application value.

The application discloses a kind of dental arch arrangement irregularity quantitative analysis method, it is related to oral digital analysis and orthodontic diagnosis technical field.The application is first based on the extracted occlusion key anatomical landmark point and carries out overall dental arch curve fitting to dental arch;Again, the same group of landmark points is carried out local dental arch curve fitting;By calculating the difference of overall dental arch curve and local dental arch curve on the corresponding position, and using the normalized root mean square error to the difference is quantified, to obtain the numerical index reflecting the degree of dental arch irregularity.To improve the comparability between different individuals, after the error value is normalized, it is divided into normal, mild, moderate and severe irregular grade according to the preset threshold interval.The application simultaneously reflects the overall trend of dental arch and local arrangement deviation;Without manual intervention, it is suitable for large-scale clinical analysis;And high sensitivity to tooth crowding, rotation and local arrangement disorder, can be used for pre-treatment evaluation, efficacy monitoring and dentition data analysis.

The invention discloses an intelligent evaluation system and method for a pollutant treatment technology in the iron and steel industry, belongs to the technical field of pollutant treatment evaluation, and solves the problem that evaluation in the prior art only considers economic factors and ignores multiple factors such as technical feasibility and environmental influence through simple cost-benefit analysis, so that the evaluation efficiency is greatly improved. The system comprises an enterprise terminal, a data management module, an intelligent evaluation module and an association recommendation module. According to the technical scheme of the invention, the comprehensive evaluation model based on technology-economy-environment is constructed, the treatment technology is comprehensively evaluated from multiple dimensions such as technical feasibility, economic cost effectiveness and environmental influence, and the real-time performance, the accuracy and the pertinence of the data based on the evaluation are ensured. And personalized evaluation and recommendation services can be provided according to factors such as scales, production processes, pollutant emission characteristics and economic conditions of different enterprises.

The invention discloses a water body nitrate treatment evaluation method based on a multispectral image, and particularly relates to the field of image processing and multispectral image analysis, and the method comprises the steps: carrying out the collection operation of the multispectral image before and after treatment, extracting the water surface texture from the multispectral image, carrying out the edge detection of the extracted water surface texture, and carrying out the evaluation of the water body nitrate treatment. Disturbance boundary points are obtained; recording the positions of the disturbance boundary points at different acquisition moments point by point to form a disturbance boundary point sequence; according to the method, a fluid coordinate grid based on a water body disturbance boundary point, a disturbance track and a flow direction field is constructed to replace an image matching and image correction system of a traditional fixed reference object, so that a reliable pixel corresponding relation can still be established for a multi-temporal multispectral image before and after treatment under the condition that the reference object is damaged; therefore, the problem that the nitrate treatment effect cannot be credibly evaluated through the multispectral image in the prior art is solved.

The invention relates to the technical field of radiopharmaceutical chemistry, in particular to a coumarin coupled FAP targeted radioactive probe and a preparation method and application thereof. The structure of the coumarin-coupled FAP targeted radioactive probe is shown as a formula (I), the coumarin-coupled FAP targeted radioactive probe has excellent radionuclide labeling property, and the inhibitor radioactive probe of targeted fibroblast activation protein formed after radionuclide labeling can target tumor-related fibroblast activation protein (FAP), so that the tumor-related FAP targeted radioactive probe can be used for detecting tumor-related FAP, and the tumor-related FAP targeted radioactive probe can be used for detecting the tumor-related FAP targeted radioactive probe. And the antibody can be combined with high-content albumin in blood, so that the blood retention time is prolonged, the diagnosis accuracy and specificity are improved, and more comprehensive tumor diagnosis and treatment evaluation is realized. (I)

The application belongs to the technical field of kits, and discloses an antinuclear antibody spectrum detection kit, a preparation method and a detection method. The detection kit comprises a detection film strip coated with a plurality of antigens in parallel, an enzyme combination liquid, a sample buffer and a substrate liquid. The antigens coated on the detection film strip include at least one of nRNP / Sm, Sm, SS-A, SS-B, Scl-70, PM-Scl, Jo-1, CENP-B, PCNA, dsDNA, nucleosome, histone, ribosome P protein, M2 and Ro52. The kit provided in the application can detect 15 kinds of antinuclear antibodies at the same time, has high accuracy, and is of great significance for assisting clinical diagnosis, clinical typing, disease observation, prognosis and treatment evaluation of autoimmune diseases.

The invention discloses a monitoring and evaluation system for identifying relapsed spartina alterniflora seedlings based on unmanned aerial vehicle multispectral aerial photography, and relates to the technical field of ecological environment monitoring, the system comprises a multispectral acquisition module, a data preprocessing module, a seedling identification module, a prevention and treatment evaluation module and a result display module; according to the method, through a spartina alterniflora spectrum recognition algorithm and a recurrent seedling recognition confidence coefficient verification algorithm, the unique spectral characteristics of low red light band absorptivity and high near-infrared band reflectivity of spartina alterniflora and the capability of inverting the photosynthetic pigment content by a red edge region spectral derivative are fully utilized; the method comprises the following steps of: extracting complete spectral data of each pixel of an image region by region, calculating an exclusive spectral recognition index of the spartina alterniflora, and performing high-precision distinguishing on target pixels of suspected spartina alterniflora recurrent seedlings in combination with a recurrent seedling recognition confidence verification algorithm; the innovation point effectively solves the identification problem caused by the fact that the relapsed spartina alterniflora seedlings are similar to local vegetation spectral characteristics in the initial growth stage.

The intelligent claim settlement method and device, the electronic equipment and the storage medium provided by the present application are related to the technical field of artificial intelligence and are suitable for the fields of finance and medical health. The method comprises the following steps: acquiring multi-modal claim settlement application data; performing disease correlation on the multi-modal claim settlement application data based on a preset knowledge graph to obtain a target disease; performing health assessment on a target object according to the multi-modal claim settlement application data and the target disease to obtain disease severity; performing treatment evaluation according to the multi-modal claim settlement application data and a target symptom to obtain treatment rationality; performing cost evaluation according to the multi-modal claim settlement application data and a target treatment scheme to obtain cost relevance; performing data fusion according to the disease severity, the treatment rationality and the cost relevance to obtain a claim settlement suggestion; and performing claim settlement on a claim settlement application according to the target disease and the claim settlement suggestion. The present application can improve the accuracy and efficiency of claim settlement for insurance.

The invention belongs to the technical field of animal model construction, and discloses a sepsis model construction method, which comprises: preparing a bacterial liquid, carrying out culture amplification on Escherichia coli, carrying out centrifugal collection, washing with a sterile PBS buffer solution, and re-suspending to obtain the bacterial liquid; constructing a model, performing intraperitoneal injection of the bacterial liquid into piglet bodies, and performing intraperitoneal injection of an isopyknic sterile PBS buffer solution into a control group; and feeding: feeding the piglets subjected to intraperitoneal injection for 48 hours to obtain the sepsis model. The invention provides the method for constructing the sepsis model, and the model constructed by the method is simple to operate, stable in effect and good in repeatability, and can comprehensively simulate the inflammatory response of human sepsis, multi-organ dysfunction, intestinal injury and other core pathological characteristics. And a standardized tool with high clinical prediction value is provided for pathogenesis research and treatment evaluation of sepsis.