Deep Learning for Early Prediction of Adverse Events in Intensive Care Units Using Electronic Health Records: A Methodological Review
Purpose To provide a methodological synthesis of deep learning (DL) approaches for early prediction of preventable adverse events (AEs) in intensive care units (ICUs) using electronic health record (EHR) data, and to examine how intrinsic EHR data challenges affect model development, predictive performance, and clinica...