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...
| Published in: | Addiction Vol. 118; no. 8; pp. 1569 - 1579 |
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| Main Authors: | , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Aug2023
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| Online Access: | View this record in EBSCOhost |