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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| 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 |