Machine learning models to evaluate mortality in pediatric patients with pneumonia in the intensive care unit.

Journal: Pediatric pulmonology
Published Date: Feb 14, 2024

Abstract

OBJECTIVES: This study aimed to predict mortality in children with pneumonia who were admitted to the intensive care unit (ICU) to aid decision-making.

Authors

  • Siang-Rong Lin
    Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Jeng-Hung Wu
    Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Yun-Chung Liu
    Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Pei-Hsin Chiu
    Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Tu-Hsuan Chang
    Department of Pediatrics, Chi-Mei Medical Center, Tainan City, Taiwan.
  • En-Ting Wu
    Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Chia-Ching Chou
    Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Luan-Yin Chang
    Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Fei-Pei Lai
    Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei City, Taiwan.

Keywords

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