Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features using multidimensional data. Here, to classify MS...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Eshaghi, Arman, Young, Alexandra L., Wijeratne, Peter A., Prados, Ferran, Arnold, Douglas L., Narayanan, Sridar, Guttmann, Charles R. G., Barkhof, Frederik, Alexander, Daniel C., Thompson, Alan J., Chard, Declan, Ciccarelli, Olga
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8024377/
https://ncbi.nlm.nih.gov/pubmed/33824310
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22265-2
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