An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine
Abstract
In the pursuit of clinical utility, neuroimaging researchers of psychiatric and neurological illness are increasingly using analyses, such as support vector machine, that allow inference at the single-subject level. Recent studies employing single-modality data, however, suggest that classification accuracies must be improved for such utility to be realized. One possible solution is to integrate different data types to provide a single combined...
Paper Details
Title
An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine
Published Date
Jul 15, 2014
Journal
Volume
8
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