Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning

Background: Heart failure (HF) manifests as at least two subtypes. The current paradigm distinguishes the two by using both the metric ejection fraction (EF) and a constraint for end-diastolic volume. About half of all HF patients exhibit preserved EF. In contrast, the classical type of HF shows a r...

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Veröffentlicht in:	Clinical Medicine Insights. Cardiology 2015-01, Vol.Suppl. 1 (Suppl. 1), p.57
Hauptverfasser:	Alonso-Betanzos, Amparo, Bolón-Canedo, Verónica, Heyndrickx, Guy R, Kerkhof, Peter LM
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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