Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles

Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles

Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It is an essential metric in categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) ejection fraction but differs, de...

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Bibliographic Details
Main Authors: Mohanad Alkhodari, Herbert F. Jelinek, Angelos Karlas, Stergios Soulaidopoulos, Petros Arsenos, Ioannis Doundoulakis, Konstantinos A. Gatzoulis, Konstantinos Tsioufis, Leontios J. Hadjileontiadis, Ahsan H. Khandoker
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
heart failure
coronary artery disease
left ventricular ejection fraction
clinical profiles
demographical and clinical information
radial visualization
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.755968/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.755968/full

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