Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data

OBJECTIVES: We aimed to test whether or not adding (1) nutrition predictor variables and/or (2) using machine learning models improves cardiovascular death prediction versus standard Cox models without nutrition predictor variables. DESIGN: Retrospective study. SETTING: Six waves of Survey (NHANES)...

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Detalles Bibliográficos
Autores principales: Rigdon, Joseph, Basu, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924849/
https://www.ncbi.nlm.nih.gov/pubmed/31784446
http://dx.doi.org/10.1136/bmjopen-2019-032703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924849/
https://www.ncbi.nlm.nih.gov/pubmed/31784446
http://dx.doi.org/10.1136/bmjopen-2019-032703

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