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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297887/
https://www.ncbi.nlm.nih.gov/pubmed/25610791
http://dx.doi.org/10.1016/j.nicl.2014.11.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297887/
https://www.ncbi.nlm.nih.gov/pubmed/25610791
http://dx.doi.org/10.1016/j.nicl.2014.11.021

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