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

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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Bibliographic Details
Main Authors: Blanca Vázquez, Gibran Fuentes-Pineda, Fabian García, Gabriela Borrayo, Juan Prohías
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
In-hospital mortality prediction
Machine learning
Risk markers
Acute Coronary Syndrome
Sex differences
Electronic health records
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002616

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http://www.sciencedirect.com/science/article/pii/S2352914821002616

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