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Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: a systematic review.

Lazzaro di BiasePasquale Maria PecoraroGiovanni PecoraroSyed Ahmar ShahVincenzo Di Lazzaro
Published in: Journal of neurology (2024)
Despite the promise shown by machine learning algorithms, real-world applications may still face limitations. This review suggests that integrating machine learning with wearable sensors has the potential to improve Parkinson's disease diagnosis. These tools could provide clinicians with objective data, potentially aiding in earlier detection.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • deep learning
  • heart rate
  • low cost
  • electronic health record
  • blood pressure
  • label free
  • sensitive detection