Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

Journal: BMC medical informatics and decision making
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely intervention and improved clinical outcomes. However, identifying individuals at risk remains challenging due to the complexity and variability of patient conditions. This study aimed to develop and externally validate machine learning models for predicting malnutrition within 24 h of intensive care unit (ICU) admission, culminating in a web-based malnutrition prediction tool for clinical decision support.

Authors

  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Yehua Xu
    Department of Emergency Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Lixia Guo
    Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhongbin Chen
    Department of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Xueqin Xia
    Department of Gynecology and Obstetrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Feng Chen
    Department of Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Li Tang
    School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China.
  • Hua Jiang
    Institute for Emergency and Disaster Medicine, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, No. 32, Yi Huan Lu Xi Er Duan, Chengdu, Sichuan Province, China; Sino-Finnish Medical AI Research Center, No. 32, Yi Huan Lu Xi Er Duan, Chengdu, Sichuan Province, China. Electronic address: hua.jiang@traumabank.org.
  • Caixia Xie
    Department of Nursing, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. caixiaxie@uestc.edu.cn.

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