Identifying different types of asthma in children using advanced machine learning techniques
Identifying pediatric asthma subtypes using novel privacy-preserving federated machine learning methods
This study is looking at different types of asthma in kids to find out what makes each one unique, so we can create better, personalized treatments that take into account how social factors might affect their asthma.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-10918182 on NIH RePORTER |
What this research studies
This research aims to better understand the various subtypes of asthma in children by utilizing innovative privacy-preserving federated machine learning methods. By analyzing large datasets from electronic health records, the study seeks to identify unique characteristics and triggers of asthma in pediatric patients. This approach allows for a more personalized treatment plan tailored to individual needs, potentially improving care for children with asthma. The research will focus on understanding how social factors influence asthma severity and treatment responses.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-11 years who have been diagnosed with asthma.
Not a fit: Patients with asthma who are older than 11 years or do not have a confirmed diagnosis of asthma may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized asthma management strategies for children.
How similar studies have performed: Previous research has shown promise in using machine learning for medical classification, indicating potential success for this novel approach in asthma subtyping.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Fishe, Jennifer Noel — University of Florida
- Study coordinator: Fishe, Jennifer Noel
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.