Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA.

Journal: Nature and science of sleep
Published Date: Jun 12, 2025

Abstract

OBJECTIVE: The aim of this study was to establish a risk prediction model for sleep quality in patients with obstructive sleep apnea (OSA) based on machine learning algorithms with optimal predictive performance.

Authors

  • Yangyang Tong
    Department of Pulmonary Oncology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People's Republic of China.
  • Kuo Wen
    College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People's Republic of China.
  • Enguang Li
    Department of Nursing, Jinzhou Medical University, Jinzhou, China.
  • Fangzhu Ai
    Department of Nursing, Jinzhou Medical University, Jinzhou, China.
  • Ping Tang
    Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100101, China. Electronic address: tangping@aircas.ac.cn.
  • Hongjuan Wen
    College of Health Management, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, 130117, People's Republic of China.
  • Botang Guo
    Department of General Practice, Shenzhen Luohu People's Hospital(Luohu Clinical College of Shantou University Medical College), YouYi Road 47, Shenzhen, 518000, Guangdong, People's Republic of China. hmugbt@hrbmu.edu.cn.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals