Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans
Background: Obstructive sleep apnea (OSA) remains massively underdiagnosed, due to limited access to polysomnography (PSG), the highly complex gold standard for diagnosis. Performance scores in predicting OSA are evaluated for machine learning (ML) analysis applied to 3D maxillofacial shapes. Methods: […]
Sleep Med