Interpretable prognosis prediction system (IPPS) framework: the disease experts learning through health records

Abstract

Abstract In the medical engineering domain, accurate mortality risk prediction from electronic health records (EHRs) is critical for early warning and timely intervention. However, with the disease heterogeneity, content sparsity, and limited interpretability, it is always uneasy to use health data effectively.

The paper