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

•RFE-SVMs predict future outcome of CIS patients with conservative accuracy estimates between 64.9% and 88.1%.•Recursive feature selection improves classification performance compared to using all information.•Relevant features include regional WM lesion load and GM density, as well as the type of C...

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