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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...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | 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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