Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP 2026 Annual Meeting.“Because these models rely solely on pre-existing EHR data, the prediction output can run passively in the background for any given patient,” Nathanael H. Hwang,