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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
- Source :
- Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Multiple sclerosis is a heterogeneous progressive disease. Here, the authors use an unsupervised machine learning algorithm to determine multiple sclerosis subtypes, progression, and response to potential therapeutic treatments based on neuroimaging data.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 12
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b925ea625e9146fc8c9474dea8ca687b
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-021-22265-2