Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

Journal: JAMA neurology
Published Date: Jul 1, 2018

Abstract

IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.

Authors

  • Andong Zhan
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • Srihari Mohan
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • Christopher Tarolli
    Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Ruth B Schneider
    Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Jamie L Adams
  • Saloni Sharma
    Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Molly J Elson
    Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Kelsey L Spear
    Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Alistair M Glidden
    Center for Health + Technology, University of Rochester Medical Center, Rochester, New York.
  • Max A Little
    Aston University, Aston Triangle, Birmingham, United Kingdom.
  • Andreas Terzis
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • E Ray Dorsey
    Department of Neurology, University of Rochester Medical Center, Rochester, New York.
  • Suchi Saria
    Department of Computer Science, Johns Hopkins University, Baltimore, MD.

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