Development and Validation of Forecasting Next Reported Seizure Using e-Diaries.

Journal: Annals of neurology
Published Date: Sep 1, 2020

Abstract

OBJECTIVE: There are no validated methods for predicting the timing of seizures. Using machine learning, we sought to forecast 24-hour risk of self-reported seizure from e-diaries.

Authors

  • Daniel M Goldenholz
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Shira R Goldenholz
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Juan Romero
    Faculty of Computer Science, University of A Coruña, Spain.
  • Rob Moss
    Seizure Tracker, Springfield, Virginia, USA.
  • Haoqi Sun
    Neurology Department, Massachusetts General Hospital, Wang 720, Boston, MA, USA.
  • Brandon Westover
    Harvard Medical School, Boston, Massachusetts, USA.

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