Using machine learning to create personalized prevention strategies for perinatal depression
SCH: Machine learning for personalized preventative intervention in perinatal depression
This study is looking to use smart technology to create personalized support for people dealing with perinatal depression, helping to figure out who might need specific help the most, so they can get the best care during pregnancy and after.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Carnegie-Mellon University NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11060670 on NIH RePORTER |
What this research studies
This research aims to harness machine learning to develop tailored preventative interventions for individuals experiencing perinatal depression, a condition affecting about 15% of pregnant individuals. By analyzing historical data and incorporating insights from both healthcare professionals and those with lived experiences, the project seeks to identify which patients would benefit most from specific interventions. The approach includes creating algorithms that can predict risk factors and guide personalized treatment plans, ultimately improving mental health care during the perinatal period.
Who could benefit from this research
Good fit: Ideal candidates for this research include pregnant individuals who are at risk for perinatal depression.
Not a fit: Patients who are not pregnant or who do not have risk factors for perinatal depression may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized prevention strategies for perinatal depression, potentially reducing its incidence and associated risks.
How similar studies have performed: Previous research has shown promise in using machine learning for mental health interventions, indicating potential success for this novel approach.
Where this research is happening
Pittsburgh, United States
- Carnegie-Mellon University — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Wilder, Bryan — Carnegie-Mellon University
- Study coordinator: Wilder, Bryan
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.