5 results about "Main diagnosis" patented technology

The invention discloses an APG settlement method and system based on outpatient disease category grouping, and aims to solve the problems of difficulty in automatic identification of outpatient main diagnosis and main operation and insufficient consistency with policy versions. The method comprises the following steps: constructing a heterogeneous evidence graph comprising a doctor-seeing inner layer, an individual longitudinal layer and an APG and policy layer, adopting a graph Transform constrained by relation perception and a monotonous time sequence attention mask, setting diagnosis and operation interactive decoding, introducing a probability soft logic rule bound with a policy version, and carrying out joint differentiable first K item selection, and main items are determined, and main group and additional group mapping and settlement calculation are completed, so that the technical effects of accurate main item identification, consistent time sequence, policy compliance and explainable end-to-end settlement are realized.

The invention provides an elevator brake fault diagnosis method based on multi-scale feature distillation, and relates to the field of fault diagnosis of elevator brakes. The method comprises the steps that multi-channel signals related to a braking event of an elevator brake are collected, the multi-channel signals comprise PVDF strain, acceleration time domain and high-frequency acoustic emission transient pulse multi-channel signals, and standardized signals are obtained through time alignment, signal slicing, windowing and normalization processing; inputting the data into a main diagnosis network, extracting and fusing multi-scale features, completing fault type and severity double-task diagnosis, training the network in combination with a real label, and generating a soft label; a lightweight edge diagnosis network is constructed, and a deployable diagnosis model is obtained based on real label and soft label distillation training; and collecting real-time signals, processing the signals and inputting the signals into the diagnosis model to obtain fault types and severity. According to the invention, the fault identification and severity evaluation precision can be improved, and the real-time online diagnosis of the elevator brake can be realized.

The invention provides a vehicle fault prediction method based on AUTOSAR, and the method comprises the steps: A, carrying out enhanced data collection and diagnosis execution, recording key parameter snapshots and supporting a periodic broadcast mode through expanding a diagnosis event manager DEM and a diagnosis communication manager DCM of a basic software layer of the AUTOSAR; b, light-weight in-vehicle data aggregation, wherein prediction required data signals distributed on different electronic control units (ECU) are aggregated to an application layer of a main diagnosis ECU through an environment RTE during operation of the AUTOSAR; step C, deploying and executing loosely coupled intelligent prediction, packaging a prediction algorithm into an independent AUTOSAR software component SWC, and subscribing real-time data flow and accessing historical fault data by the SWC through an RTE port; and D, performing fault prediction by adopting a hybrid prediction model in combination with the physical model and the data-driven model. The safety and reliability of the vehicle are effectively improved, and the full-life-cycle maintenance cost is reduced.

The application belongs to the technical field of intelligent management of ancient buildings, and provides an ancient building wood component diagnosis and prevention intelligent management method combined with digital twinning, comprising: processing the main diagnosis surface image of the wood component by using a damage diagnosis model to obtain damage state recognition results; integrating the static attribute data of the wood component, and environment exposure data, damage state recognition results and maintenance data to obtain a structured digital twinning archive; obtaining the feature vector of the wood component at each historical time point based on the structured digital twinning archive, and stacking them in time sequence into a three-dimensional feature tensor; inputting the three-dimensional feature tensor into a multi-task time series prediction model to obtain the future damage prediction result of the wood component and the damage influence weight of the historical time point; calculating the SHAP value of the index; generating damage cause description; matching the damage cause description with a decision rule library to obtain the maintenance decision instruction of the wood component and sending it. The accuracy and forward-looking nature of the future damage prediction result of the wood component are improved, and a decision closed loop is formed.

The invention relates to a medical insurance settlement method based on a DRG model, and the method comprises the steps: firstly determining a basic weight according to a basic DRG group of a main diagnosis disease in a target case; then, aiming at the comprehensive disease feature vectors corresponding to the main diagnosis disease and the whole complications, applying a concurrent synergistic effect model to obtain corresponding concurrent superposition coefficients; according to the regional basic rate under the DRG model, the medical insurance payment amount corresponding to the target case is calculated and obtained; according to the design scheme, by introducing a concurrent superposition coefficient, precise quantification is achieved for cost increase caused by the nonlinear synergistic effect among multiple complications, the fairness and precision of DRG payment are remarkably improved, the reasonable income of medical institutions for treating complex cases can be guaranteed, the method can adapt to medical technology progress and cost change, and the method is suitable for popularization and application. And core technical support is provided for scientific and refined treatment of a medical insurance payment system.