Using machine learning to predict mood and anxiety disorders in young adults
Leveraging Latent Factors and Machine Learning to Forecast Internalizing Psychopathology in Emerging Adulthood
This study is looking at how different brain and behavior traits affect the chances of young adults, ages 18-23, developing mood and anxiety disorders, especially during the stressful time of starting college, to help better understand and predict mental health risks for people in this age group.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado NIH-funded |
| Lab location | 1 site (Boulder, UNITED STATES) |
| Project ID | NIH-11082378 on NIH RePORTER |
What this research studies
This research investigates how various neurocognitive factors, such as self-regulation and sensitivity to rewards and threats, interact to influence the development of mood and anxiety disorders in young adults aged 18-23. By employing machine learning techniques, the study aims to identify specific risk markers that can forecast the likelihood of these disorders. Participants will be recruited during their transition to college, a time when stress levels are often heightened. The goal is to create a more personalized understanding of mental health risks in this age group.
Who could benefit from this research
Good fit: Ideal candidates for participation are emerging adults aged 18-23 who are transitioning to college and may be at risk for mood and anxiety disorders.
Not a fit: Patients outside the age range of 18-23 or those not experiencing mood or anxiety symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved early identification and intervention strategies for mood and anxiety disorders in young adults.
How similar studies have performed: Previous research has shown promise in using machine learning to predict mental health outcomes, suggesting that this approach could yield valuable insights.
Where this research is happening
Boulder, UNITED STATES
- University of Colorado — Boulder, United States (Active)
Researchers
- Principal investigator: Kaiser, Roselinde H — University of Colorado
- Study coordinator: Kaiser, Roselinde H
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.