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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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| Publicado no: | BMJ Open |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMJ Publishing Group
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6924849/ https://ncbi.nlm.nih.gov/pubmed/31784446 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2019-032703 |
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