Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data

AIMS: Through this proof of concept, we studied the potential added value of machine learning (ML) methods in building cardiovascular risk scores from structured data and the conditions under which they outperform linear statistical models. METHODS AND RESULTS: Relying on extensive cardiovascular cl...

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Detalles Bibliográficos
Autores principales: Rousset, Adrien, Dellamonica, David, Menuet, Romuald, Lira Pineda, Armando, Sabatine, Marc S, Giugliano, Robert P, Trichelair, Paul, Zaslavskiy, Mikhail, Ricci, Lea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707897/
https://www.ncbi.nlm.nih.gov/pubmed/36713994
http://dx.doi.org/10.1093/ehjdh/ztab093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707897/
https://www.ncbi.nlm.nih.gov/pubmed/36713994
http://dx.doi.org/10.1093/ehjdh/ztab093

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