Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study

Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study

Abstract 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 H...

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Bibliografische gegevens
Hoofdauteurs: Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis, SUMMIT Investigators
Formaat: Artikel
Taal:English
Gepubliceerd in: Nature Portfolio 2020-10-01
Reeks:npj Digital Medicine
Online toegang:https://doi.org/10.1038/s41746-020-00338-8

Internet

https://doi.org/10.1038/s41746-020-00338-8

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