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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118106/
https://www.ncbi.nlm.nih.gov/pubmed/21649880
http://dx.doi.org/10.1186/1471-2377-11-67

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118106/
https://www.ncbi.nlm.nih.gov/pubmed/21649880
http://dx.doi.org/10.1186/1471-2377-11-67

Ejemplares similares