Machine learning model for predicting improvement in left ventricular systolic function in patients with heart failure and reduced ejection fraction

Background: About one-third of patients with heart failure (HF) with reduced ejection fraction (HFrEF) may demonstrate left ventricular ejection fraction (LVEF) recovery with medical management. In this study, we developed a machine-learning (ML) model to predict LVEF improvement and compared its pe...

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Autores principales:	Nariman Sepehrvand, Caitlyn Gilbert, Alec Chunta, Erik Youngson, Justin A. Ezekowitz, Nowell M. Fine, Jonathan G. Howlett, Finlay A. McAlister, Robert J.H. Miller
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-06-01
Colección:	International Journal of Cardiology: Heart & Vasculature
Materias:	Machine learning Gradient boosting Improved ejection fraction Heart failure Left ventricular ejection fraction
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2352906726000382
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