Identifying Undiagnosed COPD Using Machine Learning-Based Classification

Key Points

• The aim is to develop a machine learning model to identify undiagnosed COPD using primary care data.
• Developed a machine learning-based classification model
• Utilized information solely from primary care
• Evaluated model precision and potential for implementation
• Successfully identified candidates with undiagnosed COPD
• Model requires further precision improvements
• Need for external validation to ensure generalizability