Predicting outcome in clinically isolated syndrome using machine learning

We aim to determine if machine learning techniques, such as support vector machines (SVMs), can predict the occurrence of a second clinical attack, which leads to the diagnosis of clinically-definite Multiple Sclerosis (CDMS) in patients with a clinically isolated syndrome (CIS), on the basis of sin...

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Detalhes bibliográficos
Publicado no:Neuroimage Clin
Main Authors: Wottschel, V., Alexander, D.C., Kwok, P.P., Chard, D.T., Stromillo, M.L., De Stefano, N., Thompson, A.J., Miller, D.H., Ciccarelli, O.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2014
Assuntos:
Regular Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4297887/
https://ncbi.nlm.nih.gov/pubmed/25610791
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2014.11.021
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