MACHINE LEARNING–ENHANCED FRAILTY ASSESSMENT FOR HIGH-RISK OLDER PATIENTS UNDERGOING TAVR

Abstract

Frailty assessment in hospital settings is growing as a method for patient selection, estimating adverse outcomes, and care planning. However, due to time and resource constraints, current frailty assessments are unstandardized and challenging to apply in clinical settings.