Exploration of machine learning techniques in predicting multiple sclerosis disease course
PloS one, Volume 12, Issue 4, 2017.
SVM incorporating short-term clinical and brain MRI data, class imbalance corrective measures, and classification costs may be a promising means to predict MS disease course, and for selection of patients suitable for more aggressive treatment regimens.
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