Health management method and device based on auxiliary diagnosis, equipment and storage medium
By standardizing patient data processing and fusing multiple models, stable auxiliary diagnostic results and personalized health management plans are generated, solving the output instability problem caused by a single model, realizing multi-candidate ranking and dynamic risk assessment, and improving the reliability and practicality of auxiliary diagnosis and health management.
Patent Information
- Application Number
- CN202610388681.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-27
- Publication Date
- 2026-06-26
AI Technical Summary
Existing assisted diagnosis and health management systems use a single analysis model, resulting in insufficient stability of output results. In particular, when faced with multi-source heterogeneous data, it is difficult to guarantee the stability and consistency of output results, which affects the reliability of assisted diagnosis and the effectiveness of subsequent health management programs.
By analyzing and standardizing patient medical record data, examination report data, and health monitoring data, a digital patient profile is constructed. Multiple intelligent analysis models are used for reasoning and calculation. The reliability coefficients and uncertainty measures of each model are combined for adaptive weighted fusion to generate a comprehensive probability ranking of multiple candidate results. This generates auxiliary diagnostic results and recommended examination items. Health risk assessment indicators are calculated by combining the time-series characteristics of historical health data to generate personalized dynamic monitoring plans and health intervention suggestions.
It improves the stability and reliability of output results, provides rich clinical diagnostic references, realizes a complete closed loop from auxiliary diagnosis to health management, and enhances the practicality of health management.