Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.
Multiple sclerosis
Journal
NPJ digital medicine
ISSN: 2398-6352
Titre abrégé: NPJ Digit Med
Pays: England
ID NLM: 101731738
Informations de publication
Date de publication:
2020
2020
Historique:
received:
18
02
2020
accepted:
17
09
2020
entrez:
21
10
2020
pubmed:
22
10
2020
medline:
22
10
2020
Statut:
epublish
Résumé
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 (CLIMB study) and 400 patients from the EPIC dataset, University of California, San Francisco, were included in the analysis. The primary outcome was an increase in
Identifiants
pubmed: 33083570
doi: 10.1038/s41746-020-00338-8
pii: 338
pmc: PMC7567781
doi:
Types de publication
Journal Article
Langues
eng
Pagination
135Commentaires et corrections
Type : ErratumIn
Informations de copyright
© The Author(s) 2020.
Déclaration de conflit d'intérêts
Competing interestsThe authors declare no competing interests. Complete disclosures are listed on ICJME forms.
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