Nature Communications (Apr 2021)

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

  • Arman Eshaghi,
  • Alexandra L. Young,
  • Peter A. Wijeratne,
  • Ferran Prados,
  • Douglas L. Arnold,
  • Sridar Narayanan,
  • Charles R. G. Guttmann,
  • Frederik Barkhof,
  • Daniel C. Alexander,
  • Alan J. Thompson,
  • Declan Chard,
  • Olga Ciccarelli

DOI
https://doi.org/10.1038/s41467-021-22265-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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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.