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Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder.

Dong Ah LeeHo-Joon LeeHyung Chan KimKang Min Park
Published in: Sleep & breathing = Schlaf & Atmung (2021)
Our findings demonstrate the feasibility of machine learning analysis based on DTI to identify patients with idiopathic RBD. The conventional DTI parameters might be more important than the structural connectomic profiles in identifying patients with idiopathic RBD.
Keyphrases
  • machine learning
  • white matter
  • physical activity
  • deep learning