Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study

The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine learning techniques may offer more powerful means to predict disease course in MS patients. In our study, 724 patients from the Comprehensive Longitudinal Investigation in MS at Brigham and Women’s Hospital (...

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Detalles Bibliográficos
Autores principales: Zhao, Yijun, Wang, Tong, Bove, Riley, Cree, Bruce, Henry, Roland, Lokhande, Hrishikesh, Polgar-Turcsanyi, Mariann, Anderson, Mark, Bakshi, Rohit, Weiner, Howard L., Chitnis, Tanuja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567781/
https://www.ncbi.nlm.nih.gov/pubmed/33083570
http://dx.doi.org/10.1038/s41746-020-00338-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567781/
https://www.ncbi.nlm.nih.gov/pubmed/33083570
http://dx.doi.org/10.1038/s41746-020-00338-8

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