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...

Full description

Saved in:
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:EN
Published: Frontiers Media S.A. 2021
Subjects:
heart failure
coronary artery disease
left ventricular ejection fraction
clinical profiles
demographical and clinical information
radial visualization
Diseases of the circulatory (Cardiovascular) system
RC666-701
Online Access:https://doaj.org/article/d9c15d34e6d949d18bb347f30cd2f467
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items