Using machine learning to predict the bleeding risk for patients with cardiac valve replacement treated with warfarin in hospitalized

A model for predicting high bleeding risk in valve replacement patients who treated with warfarin during hospitalization was successfully developed by using machine learning, which may well assist clinicians to identify patients at high risk of bleeding and allow timely adjust therapeutic strategies in evaluating individual patient.