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...
Main Authors: | Alkhodari, M, Jelinek, HF, Karlas, A, Soulaidopoulos, S, Arsenos, P, Doundoulakis, I, Gatzoulis, KA, Tsioufis, K, Hadjileontiadis, LJ, Khandoker, AH |
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Format: | Journal article |
Sprog: | English |
Udgivet: |
Frontiers Media
2021
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Lignende værker
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Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles
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