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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Dades bibliogràfiques
Publicat a:NPJ Digit Med
Autors principals: Zhao, Yijun, Wang, Tong, Bove, Riley, Cree, Bruce, Henry, Roland, Lokhande, Hrishikesh, Polgar-Turcsanyi, Mariann, Anderson, Mark, Bakshi, Rohit, Weiner, Howard L., Chitnis, Tanuja
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7567781/
https://ncbi.nlm.nih.gov/pubmed/33083570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00338-8
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