Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning

Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in a high-dimensional setting defined by a large set...

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Detalles Bibliográficos
Autores principales: Casanova, Ramon, Saldana, Santiago, Simpson, Sean L., Lacy, Mary E., Subauste, Angela R., Blackshear, Chad, Wagenknecht, Lynne, Bertoni, Alain G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058485/
https://www.ncbi.nlm.nih.gov/pubmed/27727289
http://dx.doi.org/10.1371/journal.pone.0163942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058485/
https://www.ncbi.nlm.nih.gov/pubmed/27727289
http://dx.doi.org/10.1371/journal.pone.0163942

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