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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...
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| Publicado no: | Clin Med Insights Cardiol |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Libertas Academica
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4441365/ https://ncbi.nlm.nih.gov/pubmed/26052231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CMC.S18746 |
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