An empirical attempt to identify binge gambling utilizing account-based player tracking data
Author:
Affiliation:
1. Neccton GmbH, Lienz, Austria
2. Psychology Department, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Publisher
Informa UK Limited
Subject
Medicine (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/16066359.2023.2264763
Reference26 articles.
1. Diagnostic and Statistical Manual of Mental Disorders
2. An Empirical Attempt to Operationalize Chasing Losses in Gambling Utilizing Account-Based Player Tracking Data
3. Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting
4. A variable-selection heuristic for K-means clustering
5. Applying the DSM-5 Criteria for Gambling Disorder to Online Gambling Account-Based Tracking Data: An Empirical Study Utilizing Cluster Analysis
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