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...
Asıl Yazarlar: | Alkhodari, M, Jelinek, HF, Karlas, A, Soulaidopoulos, S, Arsenos, P, Doundoulakis, I, Gatzoulis, KA, Tsioufis, K, Hadjileontiadis, LJ, Khandoker, AH |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
Frontiers Media
2021
|
Benzer Materyaller
-
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles
Yazar:: Mohanad Alkhodari, ve diğerleri
Baskı/Yayın Bilgisi: (2021-11-01) -
Revisiting left ventricular ejection fraction levels: a circadian heart rate variability-based approach
Yazar:: Alkhodari, M, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning
Yazar:: Sona M. Al Younis, ve diğerleri
Baskı/Yayın Bilgisi: (2024-01-01) -
Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features
Yazar:: Sona M. Al Younis, ve diğerleri
Baskı/Yayın Bilgisi: (2023-01-01) -
Revisiting Left Ventricular Ejection Fraction Levels: A Circadian Heart Rate Variability-Based Approach
Yazar:: Mohanad Alkhodari, ve diğerleri
Baskı/Yayın Bilgisi: (2021-01-01)