Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.

Journal: Journal of medical Internet research
Published Date: Jun 12, 2018

Abstract

BACKGROUND: Online discussion forums allow those in addiction recovery to seek help through text-based messages, including when facing triggers to drink or use drugs. Trained staff (or "moderators") may participate within these forums to offer guidance and support when participants are struggling but must expend considerable effort to continually review new content. Demands on moderators limit the scalability of evidence-based digital health interventions.

Authors

  • Rachel Kornfield
    School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, United States.
  • Prathusha K Sarma
    Department of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States.
  • Dhavan V Shah
    School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, United States.
  • Fiona McTavish
    Center for Health Enhancement System Studies, University of Wisconsin-Madison, Madison, WI, United States.
  • Gina Landucci
    Center for Health Enhancement System Studies, University of Wisconsin-Madison, Madison, WI, United States.
  • Klaren Pe-Romashko
    Center for Health Enhancement System Studies, University of Wisconsin-Madison, Madison, WI, United States.
  • David H Gustafson
    Center for Health Enhancement System Studies, University of Wisconsin-Madison, Madison, WI, United States.

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