Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.

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Title: Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.
Authors: Auer, Michael1 (AUTHOR), Griffiths, Mark D.2 (AUTHOR) mark.griffiths@ntu.ac.uk
Source: Journal of Gambling Studies. Sep2023, Vol. 39 Issue 3, p1273-1294. 22p.
Database: Hospitality & Tourism Complete
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  Data: Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Gambling+Studies%22">Journal of Gambling Studies</searchLink>. Sep2023, Vol. 39 Issue 3, p1273-1294. 22p.
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        Value: 10.1007/s10899-022-10139-1
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 1273
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      – TitleFull: Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.
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            NameFull: Auer, Michael
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              M: 09
              Text: Sep2023
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              Y: 2023
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