Computational classifiers for predicting the short-term course of Multiple sclerosis
Bejarano B, Bianco M, Gonzalez-Moron D, Sepulcre J, Goñi J, Arcocha J, Soto O, Carro U, Comi G, Leocani L, Villoslada P. Computational classifiers for predicting the short-term course of Multiple sclerosis. BMC Neurology 2011, 11: 67. PMID: 21649880, PMCID: PMC3118106, DOI: 10.1186/1471-2377-11-67.Peer-Reviewed Original ResearchConceptsClinical end pointsCentral motor conduction timeMotor evoked potentialsMultiple sclerosisDiagnostic accuracyEnd pointsMRI lesion loadCourse of multiple sclerosisShort-term prognosisCourse of MSPrognosis of multiple sclerosisMotor conduction timeEDSS changeDisability progressionShort-term disabilityProspective cohortDisease courseClinical dataBaseline disabilityShort-term courseClinical variablesIndependent cohortMS patientsGray matter volumeBackgroundThe aim