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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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| Publicado no: | Mult Scler J Exp Transl Clin |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6836306/ https://ncbi.nlm.nih.gov/pubmed/31723436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2055217319885983 |
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