SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis-Reference-Cited by-同舟云学术

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

Published:2019 Issue: Volume:24 Page:102011
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Wottschel Viktor^ORCID,Chard Declan T.^ORCID,Enzinger Christian,Filippi Massimo^ORCID,Frederiksen Jette L.,Gasperini Claudio,Giorgio Antonio,Rocca Maria A.^ORCID,Rovira Alex,De Stefano Nicola,Tintoré Mar,Alexander Daniel C.,Barkhof Frederik,Ciccarelli Olga

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference32 articles.

1. Clinically isolated syndromes;Miller;Lancet Neurol.,2012

2. Defining high, medium and low impact prognostic factors for developing multiple sclerosis;Tintore;Brain,2015

3. MRI pattern recognition in multiple sclerosis normal-appearing brain areas;Weygandt;PLoS One,2011

4. Multivariate pattern classification of gray matter pathology in multiple sclerosis;Bendfeldt;Neuroimage,2012

5. Predicting outcome in clinically isolated syndrome using machine learning;Wottschel;NeuroImage Clin.,2015

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