Moderate to severe OSA screening based on support vector machine of the Chinese population faciocervical measurements dataset: a cross-sectional study.

Liu ZhangYa Ru YanShi Qi LiHong Peng LiYing Ni LinNing LiXian Wen SunYong Jie DingChuan Xiang LiQing Yun Li

Published in: BMJ open (2021)

The SABIHC2 machine-learning model provides a simple and accurate assessment of moderate to severe OSA in the Chinese population, especially for those without significant daytime sleepiness.

Keyphrases

obstructive sleep apnea
positive airway pressure
machine learning
high intensity
early onset
sleep quality
sleep apnea
deep learning
physical activity
high resolution
artificial intelligence
risk factors
depressive symptoms
mass spectrometry