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
Autores principales: Dipnall, Joanna F., Pasco, Julie A., Berk, Michael, Williams, Lana J., Dodd, Seetal, Jacka, Felice N., Meyer, Denny
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/PMC4744063/
https://www.ncbi.nlm.nih.gov/pubmed/26848571
http://dx.doi.org/10.1371/journal.pone.0148195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744063/
https://www.ncbi.nlm.nih.gov/pubmed/26848571
http://dx.doi.org/10.1371/journal.pone.0148195

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