Using machine learning to retrospectively predict self-reported gambling problems in Quebec.
W Spencer MurchSylvia KairouzSophie DauphinaisElyse PicardJean-Michel CostesMartin FrenchPublished in: Addiction (Abingdon, England) (2023)
Machine learning algorithms appear to be able to classify at-risk online gamblers using data generated from their use of online gambling platforms. They may enable personalized harm prevention initiatives, but are constrained by trade-offs between their sensitivity and precision.