Influence of cardiovascular risk factors and treatment exposure on cardiovascular event incidence: Assessment using machine learning algorithms

Assessment of the influence of cardiovascular risk factors (CVRF) on cardiovascular event (CVE) using machine learning algorithms offers some advantages over preexisting scoring systems, and better enables personalized medicine approaches to cardiovascular prevention. Using data from four different...

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Detalles Bibliográficos
Autores principales: Castel-Feced, Sara, Malo, Sara, Aguilar-Palacio, Isabel, Feja-Solana, Cristina, Casasnovas, José Antonio, Maldonado, Lina, Rabanaque-Hernández, María José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653526/
https://www.ncbi.nlm.nih.gov/pubmed/37971977
http://dx.doi.org/10.1371/journal.pone.0293759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653526/
https://www.ncbi.nlm.nih.gov/pubmed/37971977
http://dx.doi.org/10.1371/journal.pone.0293759

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