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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Detalles Bibliográficos
Autores principales: Alonso-Betanzos, Amparo, Bolón-Canedo, Verónica, Heyndrickx, Guy R, Kerkhof, Peter LM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441365/
https://www.ncbi.nlm.nih.gov/pubmed/26052231
http://dx.doi.org/10.4137/CMC.S18746

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441365/
https://www.ncbi.nlm.nih.gov/pubmed/26052231
http://dx.doi.org/10.4137/CMC.S18746

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