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

Author(s): Murch WS; Kairouz S; Dauphinais S; Picard E; Costes JM; French M;

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 gamblers. We aimed to determine whether machine learning alg ...

Article GUID: 36880253


EEG complexity during mind wandering: A multiscale entropy investigation

Author(s): Cnudde K; Kim G; Murch WS; Handy TC; Protzner AB; Kam JWY;

Our attention often drifts away from the ongoing task to task-unrelated thoughts, a phenomenon commonly referred to as mind wandering. Ample studies dedicated to delineating its electrophysiological correlates have revealed distinct event-related potentials (ERP) and spectral patterns associated with mind wandering. It remains less clear whether the compl ...

Article GUID: 36621593


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