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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Veröffentlicht in:Nat Commun
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2021
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Article
Online Zugang: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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