Prediction of hospital mortality among critically ill patients in a single centre in Asia: comparison of artificial neural networks and logistic regression-based model.

Journal: Hong Kong medical journal = Xianggang yi xue za zhi
PMID: 38545639

Abstract

INTRODUCTION: This study compared the performance of the artificial neural network (ANN) model with the Acute Physiologic and Chronic Health Evaluation (APACHE) II and IV models for predicting hospital mortality among critically ill patients in Hong Kong.

Authors

  • S Lau
    Department of Anaesthesia, Pain and Perioperative Medicine, Queen Mary Hospital, Hong Kong SAR, China.
  • H P Shum
    Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.
  • C C Y Chan
    Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.
  • M Y Man
    Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.
  • K B Tang
    Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.
  • K K C Chan
    Department of Anaesthesia and Intensive Care, Tuen Mun Hospital, Hong Kong SAR, China.
  • A K H Leung
    Department of Intensive Care, Queen Elizabeth Hospital, Hong Kong SAR, China.
  • W W Yan
    Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, Hong Kong SAR, China.

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