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Machine learning, statistical learning and the future of biological research in psychiatry
Psychiatric research has entered the age of ‘Big Data’. Datasets now routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic, proteomic, transcriptomic and other ‘omic’ measures. The analysis of these datasets is challenging, especially when the number of me...
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| Publié dans: | Psychol Med |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Cambridge University Press
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4988262/ https://ncbi.nlm.nih.gov/pubmed/27406289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0033291716001367 |
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