Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study.

Journal: Journal of critical care
PMID: 39357434

Abstract

BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with severe UGIB after their first intensive care unit (ICU) admission.

Authors

  • Fuxing Deng
    Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.
  • Yaoyuan Cao
    Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Shuangping Zhao
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.

Keywords

External Resources

Popular Topics
Recent Journals