UNSL Advances Early Detection of Gambling Disorder with Challenging Corpus
Analysis
This article highlights research from UNSL focused on using AI to improve early detection of gambling disorder. The focus on a challenging corpus suggests a commitment to addressing the complexities of the problem and pushing the boundaries of AI applications in mental health.
Key Takeaways
- •UNSL is contributing to the early detection of gambling disorder.
- •The research utilizes a challenging corpus, indicating complexity.
- •The work is presented at MentalRiskES 2025, suggesting peer review.
Reference
“The research focuses on early detection of gambling disorder.”