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Machine learning classification of resting state functional connectivity predicts smoking status
Machine learning-based approaches are now able to examine functional magnetic resonance imaging data in a multivariate manner and extract features predictive of group membership. We applied support vector machine (SVM)-based classification to resting state functional connectivity (rsFC) data from ni...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4058899/ https://ncbi.nlm.nih.gov/pubmed/24982629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2014.00425 |
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