Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records

摘要

The system is consist of the deep learning live engine and the decision interpretation live engine. The deep learning engine is design to provide a real-time risk stratification for the whole population, so that the high-risk population can be found in advance. The decision interpretation live engine is used to analyze the driving features of the high-risk population and help provide insight for individual intervention.