Using machine learning to retrospectively predict self-reported gambling problems in Quebec.

W Spencer Murch,Sylvia Kairouz, Sophie Dauphinais, Elyse Picard,Jean-Michel Costes,Martin French

Addiction (Abingdon, England)（2023）

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摘要

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.

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关键词

Behaviour tracking,behavioural addiction,machine learning,online gambling,problem gambling,random Forest

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