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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Libertas Academica
2015
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| Materias: | |
| 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 |