Machine-learning versus traditional approaches for atherosclerotic cardiovascular risk prognostication in primary prevention cohorts: a systematic review and meta-analysis

BACKGROUND: Cardiovascular disease (CVD) risk prediction is important for guiding the intensity of therapy in CVD prevention. Whilst current risk prediction algorithms use traditional statistical approaches, machine learning (ML) presents an alternative method that may improve risk prediction accura...

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Detalles Bibliográficos
Autores principales: Liu, Weber, Laranjo, Liliana, Klimis, Harry, Chiang, Jason, Yue, Jason, Marschner, Simone, Quiroz, Juan C, Jorm, Louisa, Chow, Clara K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284268/
https://www.ncbi.nlm.nih.gov/pubmed/36869800
http://dx.doi.org/10.1093/ehjqcco/qcad017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284268/
https://www.ncbi.nlm.nih.gov/pubmed/36869800
http://dx.doi.org/10.1093/ehjqcco/qcad017

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