Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Abstract

We used autoML to develop high-performing models that predicted the survival of patients with COVID-19. In addition, we identified important variables that correlated with mortality. This is proof of concept that autoML is an efficient, effective, and informative method for generating machine learning-based clinical decision support tools.