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Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class

Artificial Intelligence is creating a paradigm shift in health care, with phenotyping patients through clustering techniques being one of the areas of interest. Objective: To develop a predictive model to classify heart failure (HF) patients according to their left ventricular ejection fraction (LVE...

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Detalles Bibliográficos
Autores principales:	Lopez, Cristina, Holgado, Jose Luis, Cortes, Raquel, Sauri, Inma, Fernandez, Antonio, Calderon, Jose Miguel, Nuñez, Julio, Redon, Josep
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233943/ https://www.ncbi.nlm.nih.gov/pubmed/34205745 http://dx.doi.org/10.3390/bioengineering8060085

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