Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression

BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to i...

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Detalles Bibliográficos
Publicado en:PLoS One
Autores principales: Dipnall, Joanna F., Pasco, Julie A., Berk, Michael, Williams, Lana J., Dodd, Seetal, Jacka, Felice N., Meyer, Denny
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2016
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Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4744063/
https://ncbi.nlm.nih.gov/pubmed/26848571
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0148195
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