Construction and validation of a machine learning-based prediction model for short-term mortality in critically ill patients with liver cirrhosis.

Journal: Clinics and research in hepatology and gastroenterology
Published Date: Nov 30, 2024

Abstract

OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to complications such as multiple organ failure. This study aims to develop a machine learning-based prediction model to forecast short-term mortality in critically ill cirrhotic patients in the intensive care unit (ICU), thereby assisting clinical decision-making for intervention and treatment.

Authors

  • Zhanjin Wang
    Inner Mongolia Key Laboratory of Chemistry and Physics of Rare Earth Materials, School of Chemistry and Chemical Engineering, Inner Mongolia University, Hohhot, 010021, China.
  • Fu Yuan Li
    Qinghai University, Qinghai, PR China.
  • JunJie Cai
    Qinghai University, Qinghai, PR China.
  • ZhangTuo Xue
    Qinghai University, Qinghai, PR China.
  • Ying Zhou
    Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Zhan Wang
    Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.

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