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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Vydáno v:Nat Commun
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
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Article
On-line přístup: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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