Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study.

Journal: Journal of medical Internet research
PMID: 39699950

Abstract

BACKGROUND: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by frequent pauses or shallow breathing during sleep. Polysomnography, the gold standard for OSA assessment, is time consuming and labor intensive, thus limiting diagnostic efficiency.

Authors

  • Nai-Yu Kuo
    Sleep Medicine Center, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Hsin-Jung Tsai
    Institute of Brain Science, National YangMing Chiao Tung University, Taipei, Taiwan.
  • Shih-Jen Tsai
    Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, 11217, Taipei, Taiwan. tsai610913@gmail.com.
  • Albert C Yang
    Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston.

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