NIH grant funds machine learning research into pediatric asthma
Improving the lives of children suffering with asthma in the United States
Researchers at the University of Florida College of Medicine in Gainesville and Jacksonville are working to improve the lives and patient care of children suffering with asthma in the United States. Asthma is a disease common among more than 6 million children nationwide.
Jennifer Fishe, MD, and Jie Xu, PhD, are principal investigators for this study. Fishe is the director of the Center for Data Solutions and associate professor of emergency medicine at UF College of Medicine – Jacksonville. Xu is an assistant professor at UF Health Outcomes and Biomedical Informatics in Gainesville.
“This project represents a collaboration between UF COMJ Department of Emergency Medicine, UF Health Outcomes & Biomedical Informatics, UF Public Health and Health and Health Professions, and the Center for Data Solutions at UF College of Medicine – Jacksonville,” Fishe said.
The $700,000 federal grant from the National Institutes of Health, or NIH, will allow Fishe and her team to identify pediatric asthma subtypes using novel privacy-preserving federated machine learning methods.
According to the study abstract, the project will leverage real-world data from the OneFlorida+ CRN’s database, which safely houses information of nearly 20 million patients in the Southeast. By identifying these subtypes, health care providers can significantly improve asthma management, primary care and emergency treatment.