10 results about "Diagnosis code" patented technology

The embodiment of the application provides a code generation method, a power line loss anomaly diagnosis method, an electronic device, a storage medium and a program product. In the embodiment of the application, code generation requirement information including power data file input requirements, line loss anomaly diagnosis rule text and diagnosis result output requirements is input into a code generation agent, and initial line loss anomaly diagnosis code is automatically generated; then, in combination with a unit test case, a code error correction agent performs unit testing and automatic error correction on the line loss anomaly diagnosis code, and finally, high-reliability line loss anomaly diagnosis code is generated. Therefore, the code generation agent and the code error correction agent cooperate with each other, end-to-end automatic construction from natural language rules to executable line loss anomaly diagnosis code is realized, and safe, efficient and landable technical support is provided for power system line loss intelligent analysis.

The application discloses an ICD intelligent coding method based on a multi-level knowledge-driven large language model, and belongs to the technical field of intelligent coding. The method comprises the following steps: S1, a sub-model matching knowledge base is constructed to select an adaptive sub-model for a diagnosis text; S2, a single diagnosis coding knowledge base is constructed, the adaptive sub-model is called, and a preliminary coding result is generated for a single diagnosis of the diagnosis text; S3, a global verification knowledge base is constructed to perform global verification on all preliminary coding results; and S4, the global verification result is input into a strong rule quality control engine to perform final verification and merging. The application optimizes the knowledge processing process, only filters and vectorizes effective characters that are strongly related to ICD coding when constructing the three-layer knowledge base, eliminates redundant and invalid characters, greatly improves the recall accuracy and efficiency of retrieval enhancement, and provides accurate knowledge support for model decision-making.

The application discloses a function diagnosis method, device and equipment and a storage medium. The method comprises the following steps: if a vehicle fault is detected, a fault diagnosis code is acquired, and a target record is determined in an operation log according to the fault diagnosis code; a target application program interface is determined according to the target record, and a target function matched with the target application program interface is determined; a function category of the target function is determined according to a function clustering result determined in advance based on a vehicle function; and all functions associated with the function category are diagnosed. The technical scheme solves the problems that it is difficult to analyze and diagnose a function fault of an automobile and the function fault is difficult to be completely eliminated, can improve the function fault diagnosis efficiency, increase the reliability of eliminating the function fault, and avoid the function fault from repeatedly occurring.

The application relates to the technical field of bus diagnosis, and discloses an ESPI and LPC bus diagnosis method and device. The method is as follows: the STRAP pin level of a master control chip is configured through a jump cap short circuit state, so that the master control chip enters an LPC bus working mode or an ESPI bus working mode; a target mainboard is connected; an I / O write operation initiated by the target mainboard in a POST self-checking stage is listened to; when a frame start signal is detected, a start field of a bus frame is analyzed and determined as an I / O write operation type; an address field in the bus frame of the I / O write operation type is analyzed and matched with a target listening address; when the address is matched successfully, a POST Code diagnosis code is acquired from the bus frame. The application realizes a dynamic switching mechanism of the LPC and ESPI double bus protocols through hardware jump cap configuration of the STRAP pin, solves the technical problem that a diagnosis card only supports a single bus protocol in the prior art, and enables a single diagnosis card device to be compatible with all X86 platform mainboards.

A method, non-transitory computer readable medium, and apparatus that identifies one of a plurality of diagnostic mapping tables based on a diagnostic code associated with one of a plurality of data environment formats in an electronic claim. The diagnostic code associated with one of the plurality of data environment formats is correlated to at least one of a plurality of parts and laterality associated with another one of the plurality of data environment formats based on the identified one of the plurality of diagnostic code mapping tables. One of a plurality of assessment ratings is determined based on the diagnostic code the correlated one of the plurality of parts and the laterality, and a categorization table associated with the another one of the plurality of data environment formats. Execution of one of a plurality of actions on the electronic claim in response to the determined one of the plurality of assessment ratings for the diagnostic code is initiated.

The present disclosure relates to the technical field of vehicles, and particularly relates to a fault diagnosis method, device, equipment and storage medium. The method comprises the following steps: according to a fault diagnosis sequence corresponding to a fault event set, before diagnosing a first fault event, acquiring first diagnosis state information according to a first inhibition mask of the first fault event and a first state mask corresponding to a second fault event, the second fault event being a fault event of a previous diagnosis of the first fault event, and the first state mask being a state mask acquired according to first diagnosis information of the second fault event; in a case where the first diagnosis state information indicates diagnosing the first fault event, diagnosing the first fault event, acquiring second diagnosis information of the first fault event, and updating the first state mask. The present disclosure can reduce the complexity of fault diagnosis code while reducing the accuracy of fault diagnosis, and improve the implementation convenience of fault diagnosis and the convenience of code maintenance.

The present application relates to the technical field of automobile electronic diagnosis, in particular to a vehicle terminal self-diagnosis method and related equipment, the method comprising: obtaining vehicle state information, generating a diagnosis activation prompt when a preset activation condition is met; in response to the driver's confirmation operation, establishing a primary diagnosis session between the vehicle machine and the central gateway and a secondary diagnosis session between the gateway and the ECU; sending a fault code reading request to the ECU through the gateway and receiving the fault diagnosis code; inputting the fault diagnosis code into the locally pre-trained fault interpretation model to generate a natural language diagnosis report; according to the driver's selection, exporting the diagnosis report through the local storage medium or Bluetooth low-power point-to-point and releasing the session. The present application realizes the driver's self-diagnosis under the condition of zero peripheral device and zero flow, avoids multiple diagnosis source conflicts through gateway arbitration, provides intuitive fault explanation by using local AI model, and improves the diagnosis convenience and data security.

The application provides a coding selection method, device and equipment for reducing blank cases and a medium, comprising obtaining a diagnosis code of a current disease diagnosis filled by a doctor, generating a diagnosis code catalog table; performing traversal screening processing on the diagnosis code catalog table according to a preset DIP catalog to generate a DIP recommendation item set, wherein the DIP catalog has multiple items, each item contains a diagnosis code, a diagnosis code requirement, a surgical operation code and a surgical operation code requirement, the diagnosis code requirement is the first four digits of the diagnosis code, the first three digits of the diagnosis code and the first digit of the diagnosis code; and each surgical operation code in the DIP catalog is compared and screened with the DIP recommendation item set respectively to generate a recommended surgical operation code set. In addition, the existing method for writing disease diagnosis and surgical operation code on the first page of the medical record is prone to errors when filling the code, which causes the patient to be unable to enter the group and enter the blank group.

An explainable artificial intelligence system for early prediction of missed severe diagnoses in intensive care unit patients is provided. The system comprises a data processing module configured to receive and process electronic health record data including patient demographics, vital signs, laboratory results, and diagnostic codes. A machine learning module with ensemble, deep learning, and large language models analyzes processed data to predict likelihood of severe diagnoses including acute myocardial infarction, acute pulmonary embolism, bacterial pneumonia, aortic dissection, meningitis, spinal abscess, bacterial endocarditis, and arterial thromboembolism. An explainability module generates feature importance rankings and provides interpretable explanations for predictions.