Insights into the temporal dynamics of identifying problem gambling on an online casino: A machine learning study on routinely collected individual account data.

Journal: Journal of behavioral addictions
PMID: 40014062

Abstract

BACKGROUND AND AIMS: The digitalization of gambling provides unprecedented opportunities for early identification of problem gambling, a well-recognized public health issue. This study aimed to advance current practices by employing advanced machine learning techniques to predict problem gambling behaviors and assess the temporal stability of these predictions.

Authors

  • Sam Andersson
    Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
  • Per Carlbring
    2Department of Psychology, Stockholm University, Stockholm, Sweden.
  • Keenan Lyon
    4LeoVegas Group, Stockholm, Sweden.
  • Måns Bermell
    4LeoVegas Group, Stockholm, Sweden.
  • Philip Lindner
    1Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

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