Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis

RATIONALE: Machine learning may be useful to characterize cardiovascular risk, predict outcomes and identify biomarkers in population studies. OBJECTIVE: To test the ability of random survival forests (RF), a machine learning technique, to predict six cardiovascular outcomes in comparison to standar...

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Detalhes bibliográficos
Publicado no:Circ Res
Main Authors: Ambale-Venkatesh, Bharath, Yang, Xiaoying, Wu, Colin O., Liu, Kiang, Hundley, W. Gregory, McClelland, Robyn, Gomes, Antoinette S., Folsom, Aaron R., Shea, Steven, Guallar, Eliseo, Bluemke, David A., Lima, João A. C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5640485/
https://ncbi.nlm.nih.gov/pubmed/28794054
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCRESAHA.117.311312
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