Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

Journal: Epilepsia
Published Date: May 1, 2020

Abstract

OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to explore the big data from open-source digital conversations among PWE with regard to suicidality, specifically comparing teenagers and adults, using machine learning technology.

Authors

  • Tatiana Falcone
    Department of Psychiatry/Epilepsy, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
  • Anjali Dagar
    Department of Psychiatry/Epilepsy, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
  • Ruby C Castilla-Puentes
    Department of Neuroscience, Johnson and Johnson, Philadelphia, PA, USA.
  • Amit Anand
    Department of Psychiatry/Epilepsy, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
  • Caroline Brethenoux
    Cultureintel™ Inc., New York City, NY, USA.
  • Liliana G Valleta
    Cultureintel™ Inc., New York City, NY, USA.
  • Patrick Furey
    Cultureintel™ Inc., New York City, NY, USA.
  • Jane Timmons-Mitchell
    Begun Center for Violence Prevention Research and Education, Case Western Reserve University, Cleveland, OH, USA.
  • Elia Pestana-Knight
    Department of Psychiatry/Epilepsy, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.

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