Ci-Zhong Li

Dynamic prediction of obstructive sleep apnea progression: a deep learning approach using time-varying smartwatch data

Obstructive sleep apnea (OSA) was prevalent yet underdiagnosed, contributing to significant cardiovascular morbidity. Early identification of individuals progressing from moderate- to high-risk OSA was critical for timely intervention. To develop and validate deep learning-based survival models predicting...