Newsbytes
March 2020—At trauma hospitals, simplicity is considered a virtue. That’s why when Jansen Seheult, MD, and his colleagues decided to use machine learning to predict massive transfusion needs, they chose a decision tree algorithm. “It was easy to implement as if/then rules, and it didn’t require computational resources to deploy,” says Dr. Seheult, clinical assistant professor of pathology at the University of Pittsburgh Medical Center.