SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis

Machine learning classification is an attractive approach to automatically differentiate patients from healthy subjects, and to predict future disease outcomes. A clinically isolated syndrome (CIS) is often the first presentation of multiple sclerosis (MS), but it is difficult at onset to predict wh...

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Bibliographic Details
Main Authors: Viktor Wottschel, Declan T. Chard, Christian Enzinger, Massimo Filippi, Jette L. Frederiksen, Claudio Gasperini, Antonio Giorgio, Maria A. Rocca, Alex Rovira, Nicola De Stefano, Mar Tintoré, Daniel C. Alexander, Frederik Barkhof, Olga Ciccarelli
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219303614

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http://www.sciencedirect.com/science/article/pii/S2213158219303614

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