Development of a Multimodal Deep Learning Model for Pediatric Patients

간략 요약

This study aims to develop a multimodal data-driven model integrating multiple noninvasive physiological signals to assess the severity of pediatric sleep-disordered breathing, using standard clinical sleep study results as the reference.