Despite limitations, the researchers believe this study showed the potential of using machine learning models ... for early detection and intervention strategies for asthma.” ...

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 ...

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 was capable of predicting asthma exacerbation risk. A novel machine learning algorithm using real ...

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

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

“This allows it to detect fine-grained ... of small airways disease in severe asthma using a novel, fast-response capnometer and interpretable machine learning. Presented at: American Thoracic ...