Computational classifiers for predicting the short-term course of Multiple sclerosis

BACKGROUND: The aim of this study was to assess the diagnostic accuracy (sensitivity and specificity) of clinical, imaging and motor evoked potentials (MEP) for predicting the short-term prognosis of multiple sclerosis (MS). METHODS: We obtained clinical data, MRI and MEP from a prospective cohort o...

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Detalhes bibliográficos
Principais autores: Bejarano, Bartolome, Bianco, Mariangela, Gonzalez-Moron, Dolores, Sepulcre, Jorge, Goñi, Joaquin, Arcocha, Juan, Soto, Oscar, Carro, Ubaldo Del, Comi, Giancarlo, Leocani, Letizia, Villoslada, Pablo
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3118106/
https://ncbi.nlm.nih.gov/pubmed/21649880
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2377-11-67
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