Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: A machine learning approach

Background:: Several studies have highlighted the importance of considering sex differences in the diagnosis and treatment of Acute Coronary Syndrome (ACS). However, the identification of sex-specific risk markers in ACS sub-populations has been scarcely studied. The present study aims to explore ma...

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Autores principales: Blanca Vázquez, Gibran Fuentes-Pineda, Fabian García, Gabriela Borrayo, Juan Prohías
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/af950418c6ab4d5e8c5a3b097dc1eeb8
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