Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression

BACKGROUND: Enhanced prediction of progression in secondary progressive multiple sclerosis (SPMS) could improve clinical trial design. Machine learning (ML) algorithms are methods for training predictive models with minimal human intervention. OBJECTIVE: To evaluate individual and ensemble model per...

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Detalles Bibliográficos
Autores principales: Law, Marco TK, Traboulsee, Anthony L, Li, David KB, Carruthers, Robert L, Freedman, Mark S, Kolind, Shanon H, Tam, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Original Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836306/
https://www.ncbi.nlm.nih.gov/pubmed/31723436
http://dx.doi.org/10.1177/2055217319885983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836306/
https://www.ncbi.nlm.nih.gov/pubmed/31723436
http://dx.doi.org/10.1177/2055217319885983

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