Using language processing to improve predictions of suicide risk
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
['FUNDING_R01'] · UNIVERSITY OF MASSACHUSETTS LOWELL · NIH-10656321
This study is looking at how social factors affect mental health to better predict suicide risk, using advanced technology to analyze health records, so we can find new ways to help those who might be at risk.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF MASSACHUSETTS LOWELL (nih funded) |
| Locations | 1 site (LOWELL, UNITED STATES) |
| Trial ID | NIH-10656321 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the prediction of suicide risk by analyzing social factors that influence mental health. It utilizes advanced natural language processing techniques to extract valuable information from electronic health records, which often contain more detailed insights than traditional data sources. By understanding the relationship between social determinants of health and suicide risk, the study seeks to develop better tools for identifying individuals at high risk for suicide. This innovative approach could lead to more effective prevention strategies and interventions.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with a history of suicidal thoughts or behaviors, particularly those with complex social backgrounds.
Not a fit: Patients who do not have any history of mental health issues or suicidal ideation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification of individuals at risk for suicide, enabling timely and targeted interventions.
How similar studies have performed: Previous studies have shown promise in using natural language processing to extract meaningful health data, indicating that this approach could be effective in suicide prediction as well.
Where this research is happening
LOWELL, UNITED STATES
- UNIVERSITY OF MASSACHUSETTS LOWELL — LOWELL, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: YU, HONG — UNIVERSITY OF MASSACHUSETTS LOWELL
- Study coordinator: YU, HONG
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.