Using deep learning to predict and prevent health issues in COPD patients
Official title: DeepCOPD: Development and Implementation of Deep Learning to Predict and Prevent COPD Health Care Encounters
Funded at Dartmouth College · NIH-10991384 · Data updated 2026-11-12
This study is creating a helpful tool that uses smart technology to predict when patients with COPD might need medical care, so doctors can better support them and improve their health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dartmouth College NIH-funded |
| Lab location | 1 site (Hanover, United States) |
| Project start | December 20, 2021 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| Award (this year) | $634,641 |
| NIH project number | 5R01HL157130-04 |
| Project ID | NIH-10991384 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Chronic Obstructive Pulmonary Disease (COPD), particularly those experiencing frequent health issues.
✕Less likely to help
Patients without a diagnosis of COPD or those with very mild symptoms may not benefit from this research.
What this research studies
This research aims to develop a decision-support tool that utilizes advanced machine learning and deep learning algorithms to predict healthcare encounters for patients with Chronic Obstructive Pulmonary Disease (COPD). By analyzing electronic health records, the tool will identify at-risk patients and forecast potential medical events, such as hospital admissions and disease progression. This proactive approach allows caregivers to allocate resources more effectively and improve patient outcomes. The ultimate goal is to reduce the burden of COPD on both patients and the healthcare system.
Why it matters
Potential benefit: If successful, this research could significantly reduce hospitalizations and improve the quality of life for COPD patients by enabling timely interventions.
How similar studies have gone: Previous research has shown promise in using machine learning techniques for predicting health outcomes in chronic diseases, indicating a potential for success in this novel approach.
Where this research is happening
-
Dartmouth College
Hanover, United States Active
Researchers
- Principal investigator: Brown, Jeremiah R — Dartmouth College
- Study coordinator: Brown, Jeremiah R
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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.