Can machine-learning improve cardiovascular risk prediction using routine clinical data?

BACKGROUND: Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiting complex interactions between risk factors. We a...

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Detalles Bibliográficos
Autores principales: Weng, Stephen F., Reps, Jenna, Kai, Joe, Garibaldi, Jonathan M., Qureshi, Nadeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380334/
https://www.ncbi.nlm.nih.gov/pubmed/28376093
http://dx.doi.org/10.1371/journal.pone.0174944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380334/
https://www.ncbi.nlm.nih.gov/pubmed/28376093
http://dx.doi.org/10.1371/journal.pone.0174944

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