Using machine learning to retrospectively predict self‐reported gambling problems in Quebec.
Background and Aims: Participating in online gambling is associated with an increased risk for experiencing gambling‐related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of models capable of detecting at‐risk online gam...
| Publicado en: | Addiction Vol. 118; no. 8; pp. 1569 - 1579 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |