A deep learning approach for inpatient length of stay and mortality prediction.

Journal: Journal of biomedical informatics
PMID: 37852346

Abstract

PURPOSE: Accurate prediction of the Length of Stay (LoS) and mortality in the Intensive Care Unit (ICU) is crucial for effective hospital management, and it can assist clinicians for real-time demand capacity (RTDC) administration, thereby improving healthcare quality and service levels.

Authors

  • Junde Chen
    School of Informatics, Xiamen University, Xiamen, China.
  • Trudi Di Qi
    Fowler School of Engineering, Chapman University, Orange 92866, CA, USA.
  • Jacqueline Vu
    Fowler School of Engineering, Chapman University, Orange 92866, CA, USA.
  • Yuxin Wen
    Fowler School of Engineering, Chapman University, Orange, CA, United States.

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