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Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis.

Gaëlle Challet-BoujuJean-Benoit HardouinElsa ThiabaudAnaïs SaillardYann DonnioMarie Grall-BronnecBastien Perrot
Published in: Journal of medical Internet research (2020)
Classes 1, 2, 3 may be considered to represent recreational gambling. Class 4 had higher gambling activity and higher breadth of involvement and may be representative of players at risk for future gambling problems. Class 5 stood out in terms of much higher gambling activity and breadth of involvement, and the presence of chasing behavior. Individuals in classes 4 and 5 may benefit from early preventive measures.
Keyphrases
  • mental health
  • electronic health record
  • big data