Machine learning-based 28-day mortality prediction model for elderly neurocritically Ill patients.

Journal: Computer methods and programs in biomedicine
PMID: 39799642

Abstract

BACKGROUND: The growing population of elderly neurocritically ill patients highlights the need for effective prognosis prediction tools. This study aims to develop and validate machine learning (ML) models for predicting 28-day mortality in intensive care units (ICUs).

Authors

  • Jia Yuan
  • Jiong Xiong
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Jinfeng Yang
    Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, China.
  • Qi Dong
    Institute of Biomechanics and Rehabilitation Engineering, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P.R.China;Shanghai Engineering Research Center of Assistive Devices, Shanghai 200093, P.R.China;Key Laboratory of Nerve Function Information and Rehabilitation Engineering, Shanghai 200093, P.R.China.
  • Yin Wang
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
  • Yumei Cheng
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Xianjun Chen
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Chuan Xiao
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Junlin Tao
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Shuangzi Lizhang
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Yangzi Liujiao
    Guizhou Medical University, Guiyang, Guizhou, 550004, China.
  • Qimin Chen
    Department of Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, No. 28, Guiyi Road, Yunyan District, Guiyang, Guizhou 550001, China.
  • Feng Shen
    Department of Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China.

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