Predicting outcome in clinically isolated syndrome using machine learning

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 si...

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Bibliographic Details
Main Authors: V. Wottschel, D.C. Alexander, P.P. Kwok, D.T. Chard, M.L. Stromillo, N. De Stefano, A.J. Thompson, D.H. Miller, O. Ciccarelli
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:NeuroImage: Clinical
Subjects:
Support vector machines
MRI
Multiple Sclerosis
Clinically isolated syndrome
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214001880

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http://www.sciencedirect.com/science/article/pii/S2213158214001880

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