Physical examination report multi-modal intelligent analysis and health risk grading early warning system

Abstract

The physical examination report multi-modal intelligent analysis and health risk grading early warning system comprises an access module, a fusion and representation module, an inference module, a risk assessment module and an early warning module.The access module receives structured physical examination indexes, unstructured text reports and medical image data from different sources to generate original multi-modal data signals.The fusion and representation module receives the original multi-modal data signals to generate a unified digital physical examination archive signal containing numerical, semantic and visual features and transmits the unified digital physical examination archive signal.The inference module receives the unified digital physical examination archive signal to generate a deep analysis signal containing abnormal correlations and potential health problems.The risk assessment module receives the deep analysis signal, combines individual historical physical examination data, and calculates a dynamic health risk grade signal through time trend analysis and a risk prediction model.The early warning module receives the health risk grade signal to generate a readable early warning report signal and outputs the readable early warning report signal.The present application can solve the problems of fragmented interpretation of physical examination data and lagging risk warning.

Images