Improving cardiovascular risk prediction with machine learning: a focus on perivascular adipose tissue characteristics.
Journal:
Biomedical engineering online
Published Date:
Aug 5, 2024
Abstract
BACKGROUND: Timely prevention of major adverse cardiovascular events (MACEs) is imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose tissue (PVAT), the adipose tissue surrounding coronary arteries, has attracted increased amounts of attention. Developing a model for predicting the incidence of MACE utilizing machine learning (ML) integrating clinical and PVAT features may facilitate targeted preventive interventions and improve patient outcomes.