Dynamic prediction of life-threatening events for patients in intensive care unit.

Journal: BMC medical informatics and decision making
Published Date: Oct 22, 2022

Abstract

BACKGROUND: Early prediction of patients' deterioration is helpful in early intervention for patients at greater risk of deterioration in Intensive Care Unit (ICU). This study aims to apply machine learning approaches to heterogeneous clinical data for predicting life-threatening events of patients in ICU.

Authors

  • Jiang Hu
    Department of Orthopedics, Sichuan Academy of Medical Science·Sichuan Provincal People's Hospital, Chengdu Sichuan, 610072, P.R.China.hujiang8711@163.com.
  • Xiao-Hui Kang
    Medical Intensive Care Unit, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China.
  • Fang-Fang Xu
    Hangzhou Maicim Medical Tech Co., Ltd, Hangzhou, Zhejiang, China.
  • Ke-Zhi Huang
    Hangzhou Maicim Medical Tech Co., Ltd, Hangzhou, Zhejiang, China.
  • Bin Du
    Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China.
  • Li Weng
    Medical Intensive Care Unit, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, China. wengli@gmail.com.

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