Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.

Journal: Journal of medical Internet research
PMID: 32755888

Abstract

BACKGROUND: Changeful seasonal influenza activity in subtropical areas such as Taiwan causes problems in epidemic preparedness. The Taiwan Centers for Disease Control has maintained real-time national influenza surveillance systems since 2004. Except for timely monitoring, epidemic forecasting using the national influenza surveillance data can provide pivotal information for public health response.

Authors

  • Hao-Yuan Cheng
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • Yu-Chun Wu
    Value Lab, Acer Inc., Taipei, Taiwan.
  • Min-Hau Lin
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • Yu-Lun Liu
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • Yue-Yang Tsai
    Value Lab, Acer Inc., Taipei, Taiwan.
  • Jo-Hua Wu
    Value Lab, Acer Inc., Taipei, Taiwan.
  • Ke-Han Pan
    Value Lab, Acer Inc., Taipei, Taiwan.
  • Chih-Jung Ke
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • Chiu-Mei Chen
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • Ding-Ping Liu
    Taiwan Centers for Disease Control, Taipei, Taiwan.
  • I-Feng Lin
    Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.
  • Jen-Hsiang Chuang
    Taiwan Centers for Disease Control, Taipei, Taiwan.

Keywords

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