Development of Predictive Models for Continuous Flow Left Ventricular Assist Device Patients using Bayesian Networks
AUTHORS Natasha A. Loghmanpour, Manreet K. Kanwar, Raymond L. Benza, Srinivas Murali and James F. Antaki ABSTRACT Background: Existing prognostic tools for patient selection for ventricular assist devices (VADs) such as the Destination Therapy Risk Score (DTRS) and newly published HeartMate II Risk Score (HMRS) have limited predictive ability, especially with the current generation of continuous flow […]