Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning. Pediatr Res . Published online January 11, 2024. https ...

The researchers used the electronic health records of 21,686 adults with asthma from Dec. 1, 1994, to Feb. 28, 2019, at Asan Medical Center to build models using regression and tree-based machine ...

Machine learning models can help predict which children diagnosed with childhood asthma before age 5 will continue to experience symptoms as they get older.

More information: Brian Sang et al, An Accelerometer-Based Wearable Patch for Robust Respiratory Rate and Wheeze Detection Using Deep Learning, Biosensors (2024). DOI: 10.3390/bios14030118 ...

A novel machine learning algorithm using real-world outpatient data from electronic health records (EHRs) was capable of predicting asthma exacerbation risk, according to study results published ...

Researchers at the Indiana University School of Medicine have developed a more accurate and cost-effective method to predict ...

SAN DIEGO — A model that applied machine learning to capnography signals accurately detected small airways disease among patients with asthma, according to a presentation at the American ...