Identifying Key Correlates of Problem Sports Betting in Young Adults
A Machine Learning Approach
Bibliographic Data
| ID | 24229012 |
|---|---|
| Authors | Brian H Calhoun (0000-0002-2666-0133), Scott Graupensperger (0000-0002-8655-1190) |
| Year | 2026 |
| Volume | 42 |
| Issue | 1 |
| Pages | 45-60 |
| Publication date | 2026-02-06 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Gambling Studies (JOURNAL) |
| Journal identifiers | ISSN: 1050-5350 • E-ISSN: 1573-3602 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10899-026-10478-3 |
| PMID | 41652208 |
| OpenAlex | W7128163642 |
| Language | EN |
| References cited | 39 |
gambling harm · gambling prevention · machine learning prediction · perceived harm · Risk factors · Social functioning · Young adults · Gambling Behavior and Treatments · Sports Analytics and Performance · Substance Abuse Treatment and Outcomes
The Need for Benchmarks to Advance AI-Enabled Player Risk Detection in Gambling
Applied Predictive Modeling
Hyperparameters and tuning strategies for random forest
A meta‐analysis of problem gambling risk factors in the general adult population
Emerging Adulthood
Ranger
Regularization Paths for Generalized Linear Models via Coordinate Descent
Sports betting around the world
Changes to the playing field
All My Friends Are Doing It
Problem gambling message board activity and the legalization of sports betting in the US
Sports betting and hazardous alcohol use among young adults
| Highly cited | No |
|---|