Using Artificial Intelligence Algorithms to Predict Self-Reported Problem Gambling Among Online Casino Gamblers from Different Countries Using Account-Based Player Data.

The prevalence of online gambling and the potential for related harm necessitate predictive models for early detection of problem gambling. The present study expands upon prior research by incorporating a cross-country approach to predict self-reported problem gambling using player-tracking data in...

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Publicado en:	International Journal of Mental Health & Addiction Vol. 24; no. 2; pp. 981 - 1004
Autores principales:	Hopfgartner, Niklas, Auer, Michael, Helic, Denis, Griffiths, Mark D.
Formato:	Artículo
Publicado:	Springer Nature Apr2026
Materias:	Compulsive gambling Compulsive gamblers Artificial intelligence Cross-cultural studies Machine learning Prediction models Internet gambling
Acceso en línea:	Ver este registro en EBSCOhost