Establishing the temporal stability of machine learning models that detect online gambling-related harms

Artificial Intelligence (AI) models can detect at-risk online gamblers by analyzing patterns in their betting behaviour, but their performance over time has not been assessed. Linking online gamblers’ self-reported gambling problems to their transactional gambling data, we investigated the temporal...

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Autors principals:	W. Spencer Murch, Sylvia Kairouz, Martin French
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-05-01
Col·lecció:	Computers in Human Behavior Reports
Matèries:	Artificial intelligence Machine learning Problem gambling Online gambling Behavioral addiction Prevention
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2451958824000605
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