An empirical comparison of different approaches for combining multimodal neuroimaging data with Support Vector Machine

An empirical comparison of different approaches for combining multimodal neuroimaging data with Support Vector Machine

In the pursuit of clinical utility, neuroimaging researchers of psychiatric and neurological illness are increasingly using analyses, such as support vector machine (SVM), that allow inference at the single-subject level. Recent studies employing single-modality data, however, suggest that classific...

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Bibliographic Details
Main Authors: William ePettersson-Yeo, Stefania eBenetti, Andre F Marquand, Richard eJoules, Marco eCatani, Steve CR Williams, Paul eAllen, Philip eMcGuire, Andrea eMechelli
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-07-01
Series:Frontiers in Neuroscience
Subjects:
integration
MRI
psychosis
label fusion
Multi-kernel learning
Support vector machine
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00189/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00189/full

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