Sep 19, 2013 · The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support ...
Abstract—The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector ...
The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines ...
The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines ...
Dec 4, 2014 · We aim to determine if machine learning techniques, such as support vector machines (SVMs), can predict the occurrence of a second clinical ...
Dec 4, 2014 · We aim to determine if machine learning techniques, such as support vector machines (SVMs), can predict the occurrence of a second clinical ...
Patients with Clinically Isolated Syndrome and Early Relapsing-Remitting ... Predicting outcome in clinically isolated syndrome using machine learning ...
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MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry. Brain Imaging ...
The study showed that a linear SVM correctly predicted CDMS in 71% of patients at 1 year, and in 68% at 3 years of follow-up based on different combinations of ...
Dec 3, 2020 · This progression prediction is based on two factors: the MS course (SP development/not development) and disease severity (related to the benign/ ...