Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features

Purpose: The purpose of this study is classifying multiple sclerosis (MS) patients in the four clinical forms as defined by the McDonald criteria using machine learning algorithms trained on clinical data combined with lesion loads and magnetic resonance metabolic features. Materials and Methods: Ei...

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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Ion-Mărgineanu, Adrian, Kocevar, Gabriel, Stamile, Claudio, Sima, Diana M., Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2017
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5504183/
https://ncbi.nlm.nih.gov/pubmed/28744195
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00398
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