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Prediction of Freezing of Gait in Parkinson's Disease Using Wearables and Machine Learning.

Luigi BorziIvan MazzettaAlessandro ZampognaAntonio SuppaGabriella OlmoFernanda Irrera
Published in: Sensors (Basel, Switzerland) (2021)
Machine learning models are capable of predicting FOG before its actual occurrence with adequate accuracy. The dopaminergic therapy affects pre-FOG gait patterns, thereby influencing the algorithm's effectiveness.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • cerebral palsy
  • randomized controlled trial
  • deep learning
  • risk assessment
  • systematic review
  • stem cells
  • bone marrow
  • mesenchymal stem cells