Login / Signup

Screening the risk of obstructive sleep apnea by utilizing supervised learning techniques based on anthropometric features and snoring events.

Cheng-Yu TsaiWen-Te LiuWen-Hua HsuArnab MajumdarMarc StettlerKang-Yun LeeWun-Hao ChengDean WuHsin-Chien LeeYi-Chun KuanCheng-Jung WuYi-Chih LinShu Chuan Ho
Published in: Digital health (2023)
The established model can be considered for screening for the risk of having moderate-to-severe or severe OSA.
Keyphrases
  • obstructive sleep apnea
  • positive airway pressure
  • early onset
  • machine learning
  • body composition
  • high intensity
  • sleep apnea