The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals.

Journal: Frontiers in digital health
Published Date:

Abstract

OBJECTIVE: The COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic.

Authors

  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Renzhao Liang
    School of Physics and Technology, Wuhan University, Wuhan, China.
  • Chengzhi Zhang
    Department of Information Management, Nanjing University of Science & Technology, Nanjing, China.

Keywords

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