230 Machine Learning Models for Predicting Ischemic Stroke and Major Bleeding Risk in Patients with Atrial Fibrillation

Risk scores such as CHA2DS2-VASc and HAS-BLED are used to assess stroke and bleeding risk respectively and choose appropriate antithrombotic therapy in patients with atrial fibrillation (AF). The application of ML models may improve risk prediction and identification of potential risk factors.

Source: Heart, Lung and Circulation - November 8, 2020 Category: Cardiology Authors: J. Lu, G. Dwivedi, F. Sanfilippo, M. Bennamoun, J. Hung, T. Briffa, F. Sohel, R. Hutchens, J. Stewart, B. Chow, B. McQuillan Source Type: research