Machine learning prediction models for multidrug-resistant organism infections in ICU ventilator-associated pneumonia patients: Analysis using the MIMIC-IV database.

Journal: Computers in biology and medicine
PMID: 40154202

Abstract

OBJECTIVE: This study aims to construct and compare four machine learning models using the MIMIC-IV database to identify high-risk factors for multidrug-resistant organism (MDRO) infection in Ventilator-associated pneumonia (VAP) patients.

Authors

  • Zhigang Cui
    School of Nursing, China Medical University, Shenyang, Liaoning, China.
  • Yifan Dong
    Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China; Urumqi You'ai Hospital, Urumqi, Xinjiang, China.
  • Huizhu Yang
    Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • Kehan Li
    Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
  • Xiaohan Li
    School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China.
  • Renyu Ding
    Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China.
  • Zhihua Yin
    Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. zhyin@cmu.edu.cn.

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