Machine learning methods for adult OSAHS risk prediction.

Journal: BMC health services research
Published Date:

Abstract

BACKGROUND: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS.

Authors

  • Shanshan Ge
    Health Management Center, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China. geshanshan1@163.com.
  • Kainan Wu
    Health Management Center, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
  • Shuhui Li
  • Ruiling Li
    Nursing College of Shanxi Medical University, Taiyuan, 030001, China.
  • Caizheng Yang
    Nursing College of Shanxi Medical University, Taiyuan, 030001, China.