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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Veröffentlicht in:Front Neurosci
Hauptverfasser: Ion-Mărgineanu, Adrian, Kocevar, Gabriel, Stamile, Claudio, Sima, Diana M., Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2017
Schlagworte:
Neuroscience
Online Zugang: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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