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Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients

OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) prevention. It is not known whether electronic health record (EHR)-based machine-learning (ML) models can improve CVD risk stratification compared with a secondary prevention risk score developed from ra...

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Detalles Bibliográficos
Autores principales:	Sarraju, Ashish, Ward, Andrew, Chung, Sukyung, Li, Jiang, Scheinker, David, Rodríguez, Fàtima
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2021
Materias:	Cardiac Risk Factors and Prevention
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527119/ https://www.ncbi.nlm.nih.gov/pubmed/34667093 http://dx.doi.org/10.1136/openhrt-2021-001802

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