Decision trees for early prediction of inadequate immune response to coronavirus infections: a pilot study on COVID-19.

Introduction: Few artificial intelligence models exist to predict severe forms of COVID-19. Most rely on post-infection laboratory data, hindering early treatment for high-risk individuals.

Methods: This study developed a machine learning model to predict inherent risk of severe symptoms after contracting SARS-CoV-2.