Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19

Abstract

Our ML-based approach can be used to analyse electronic health record data and reliably predict near-term mortality prediction. Using such a model in hospitals could help improve care, thereby better aligning clinical decisions with prognosis in critically ill patients with COVID-19.