Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study.

Journal: JMIR mHealth and uHealth
Published Date: May 6, 2021

Abstract

BACKGROUND: The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with an accelerated decline in lung function, diminished quality of life, and higher mortality. Accurate early detection of acute exacerbations will enable early management and reduce mortality.

Authors

  • Chia-Tung Wu
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Guo-Hung Li
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
  • Chun-Ta Huang
    Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Yu-Chieh Cheng
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
  • Chi-Hsien Chen
    Department of Environmental and Occupational Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Jung-Yien Chien
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Ping-Hung Kuo
    Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Lu-Cheng Kuo
    Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Feipei Lai
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.

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