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Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine
Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to strong interest in using neuroimaging methods to accurately predict disorder status. In this work, we are specifically interested in a multivariate approach that uses fe...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4072532/ https://ncbi.nlm.nih.gov/pubmed/24704268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.03.067 |
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