Improving suicide risk identification using machine learning algorithms
Exploratory Research Project - ADAPT
['FUNDING_OTHER'] · UNIV OF MASSACHUSETTS MED SCH WORCESTER · NIH-11056016
This study is working on a smart computer program that helps doctors spot people who might be at risk of suicide, making it easier for them to provide support in different healthcare settings.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF MASSACHUSETTS MED SCH WORCESTER (nih funded) |
| Locations | 1 site (WORCESTER, UNITED STATES) |
| Trial ID | NIH-11056016 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing a machine learning-based algorithm designed to identify individuals at risk of suicide. By systematically evaluating and improving the algorithm's ability to adapt to different healthcare settings, the project aims to ensure that it can be effectively used in clinical practice. The research team, composed of experts in predictive modeling and mental health, will utilize electronic health record data to refine the algorithm's accuracy and applicability. The goal is to create a user-friendly tool that can be integrated into existing healthcare systems to better predict and prevent suicide risk.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with a history of mood disorders or those who have exhibited suicidal thoughts or behaviors.
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 more accurate identification of individuals at risk for suicide, ultimately saving lives through timely intervention.
How similar studies have performed: Previous research has shown promise in using machine learning for risk prediction in various health contexts, indicating potential success for this innovative approach.
Where this research is happening
WORCESTER, UNITED STATES
- UNIV OF MASSACHUSETTS MED SCH WORCESTER — WORCESTER, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LIU, FEIFAN — UNIV OF MASSACHUSETTS MED SCH WORCESTER
- Study coordinator: LIU, FEIFAN
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.
Conditions: Affective Disorders