| Abstrakt: |
A recent report from the University of Florida College of Medicine discusses the use of machine learning and qualitative methods to investigate novel subtypes of pediatric asthma. The study aims to develop a research protocol using federated machine learning to identify and discover these subtypes and their progression over time. The researchers will use data from the OneFlorida+ clinical research network, which covers over 20 million patients from Florida, Georgia, and Alabama. The study also includes focus groups with pediatric asthma clinicians to explore the clinical utility of the subtypes. The researchers hope that this research will lead to improved patient outcomes and precision pediatric asthma care. [Extracted from the article] |
