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Machine learning-Based model for prediction of Narcolepsy Type 1 in Patients with Obstructive Sleep Apnea with Excessive Daytime Sleepiness.

Yuanhang PanDi ZhaoXinbo ZhangNa YuanLei YangYuanyuan JiaYanzhao GuoZe ChenZezhi WangShuyi QuJunxiang BaoYonghong Liu
Published in: Nature and science of sleep (2024)
The study yielded a simple and feasible screening ML-based model for the early identification of NT1 in patients with OSA, which warrants further verification in more extensive clinical practices.
Keyphrases
  • obstructive sleep apnea
  • positive airway pressure
  • machine learning
  • sleep apnea
  • healthcare
  • primary care
  • sleep quality
  • artificial intelligence
  • weight gain