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International Gambling Studies Volume 21, 2021 - Issue 2
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Research Article

Using machine learning to predict self-exclusion status in online gamblers on the PlayNow.com platform in British Columbia

Stephanie Finkenwirtha Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, CanadaView further author information
,
Kent MacDonalda Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, CanadaView further author information
,
Xiaolei Denga Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, CanadaView further author information
,
Tilman Lescha Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, CanadaView further author information
&
Luke Clarka Centre for Gambling Research at UBC, Department of Psychology, University of British Columbia, Vancouver, Canada;b Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, B.C., CanadaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1103-2422View further author information
ORCID Icon
Pages 220-237 | Received 03 Dec 2019, Accepted 27 Sep 2020, Published online: 08 Nov 2020

Citations (8)

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Read on this site (2)

Sylvia Kairouz, Jean-Michel Costes, W. Spencer Murch, Pascal Doray-Demers, Clément Carrier & Vincent Eroukmanoff. (2023) Enabling New Strategies to Prevent Problematic Online Gambling: A Machine Learning Approach for Identifying At-risk Online Gamblers in France. International Gambling Studies 23:3, pages 471-490.
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André Syvertsen, Tony Leino, Ståle Pallesen, Otto R.F. Smith, Rune A. Mentzoni, Mark D. Griffiths & Eilin K. Erevik. (2023) Age and gender differences in gambling intensity in a Norwegian population of electronic gaming machine players. International Gambling Studies 0:0, pages 1-21.
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Articles from other publishers (6)

W. Spencer Murch, Sylvia Kairouz, Sophie Dauphinais, Elyse Picard, Jean‐Michel Costes & Martin French. (2023) Using machine learning to retrospectively predict self‐reported gambling problems in Quebec. Addiction 118:8, pages 1569-1578.
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Niklas Hopfgartner, Michael Auer, Denis Helic & Mark D. Griffiths. (2023) The Efficacy of Voluntary Self-Exclusions in Reducing Gambling Among a Real-World Sample of British Online Casino Players. Journal of Gambling Studies.
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Niklas Hopfgartner, Michael Auer, Mark D. Griffiths & Denis Helic. (2022) Predicting self-exclusion among online gamblers: An empirical real-world study. Journal of Gambling Studies 39:1, pages 447-465.
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Matthew A. Tom, Timothy C. Edson, Eric R. Louderback, Sarah E. Nelson, Karen A. Amichia & Debi A. LaPlante. (2022) Second Session at the Virtual Poker Table: A Contemporary Study of Actual Online Poker Activity. Journal of Gambling Studies 39:3, pages 1295-1317.
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Michael Auer & Mark D. Griffiths. (2022) Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies 39:3, pages 1273-1294.
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Eric R. Louderback, Debi A. LaPlante, Brett Abarbanel, Shane W. Kraus, Bo J. Bernhard & Heather M. Gray. (2022) Examining Responsible Gambling Program Awareness and Engagement Trends and Relationships with Gambling Beliefs and Behaviors: A Three-Wave Study of Customers from a Major Gambling Operator. Journal of Gambling Studies 39:1, pages 401-429.
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