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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Detalles Bibliográficos
Autores principales: Ion-Mărgineanu, Adrian, Kocevar, Gabriel, Stamile, Claudio, Sima, Diana M., Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504183/
https://www.ncbi.nlm.nih.gov/pubmed/28744195
http://dx.doi.org/10.3389/fnins.2017.00398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504183/
https://www.ncbi.nlm.nih.gov/pubmed/28744195
http://dx.doi.org/10.3389/fnins.2017.00398

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