Improving health outcomes using advanced machine learning tools for complex data analysis.
Enhanced Machine Learning Tools for Complex Data Evaluation and Integration in Advancing Health Outcomes
['FUNDING_R01'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-11046860
This study is looking at how to use smart computer techniques to better understand heart, lung, blood, and sleep problems, so that we can find better ways to diagnose and treat these conditions for patients like you.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF NORTH CAROLINA CHAPEL HILL (nih funded) |
| Locations | 1 site (CHAPEL HILL, UNITED STATES) |
| Trial ID | NIH-11046860 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the analysis of complex health data related to heart, lung, blood, and sleep disorders. By utilizing advanced machine learning techniques, the project aims to better understand the intricate relationships between various health factors and disease outcomes. The goal is to develop more effective interventions and management strategies for these prevalent health issues. Patients may benefit from improved diagnostic and treatment approaches derived from this comprehensive data analysis.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with heart, lung, blood, or sleep disorders, as well as those at risk for these conditions.
Not a fit: Patients with unrelated health issues or those not affected by heart, lung, blood, or sleep disorders may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and management strategies for patients suffering from heart, lung, blood, and sleep disorders.
How similar studies have performed: Previous research has shown that advanced machine learning approaches can significantly improve the analysis of complex biomedical data, indicating a promising potential for this novel approach.
Where this research is happening
CHAPEL HILL, UNITED STATES
- UNIV OF NORTH CAROLINA CHAPEL HILL — CHAPEL HILL, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZOU, BAIMING — UNIV OF NORTH CAROLINA CHAPEL HILL
- Study coordinator: ZOU, BAIMING
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.