EHR: Valuable Predictor of Those Likeliest to Die from COVID by Colleen Fleiss on February 6, 2021 at 3:37 AM Artificial intelligence (AI) identifies factors such as age, history of pneumonia, gender, race and comorbidities like diabetes and cancer as predictors of poor outcomes in COVID-19 patients, said Massachusetts General Hospital (MGH) researchers. The findings of the study are published in npj Digital Medicine. "By combining computational methods and clinical expertise, we developed a set of models to forecast the most severe COVID-19 outcomes based on past medical records, and to help understand the differences in risk factors across age groups," says co-lead author Hossein Estiri, PhD, an investigator in the Laboratory of Computer Science at MGH and an assistant professor of Medicine at Harvard Medical School (HMS).