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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Publicado en:Front Neurosci
Autores principales: Ion-Mărgineanu, Adrian, Kocevar, Gabriel, Stamile, Claudio, Sima, Diana M., Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique
Formato: Artigo
Lenguaje:Inglês
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea: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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