Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning.

Journal: European journal of medical research
PMID: 39217369

Abstract

INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-variceal upper gastrointestinal bleeding (NVUGIB) in the intensive care unit (ICU), employing advanced machine learning algorithms. The goal is to identify high-risk populations early, contributing to a deeper understanding of patients with NVUGIB in the ICU.

Authors

  • Xiaoxu Zhao
    Department of Occupational Medicine and Clinical Toxicology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Shuxing Wei
    Department of Emergency, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
  • Yujie Pan
    Department of Occupational Medicine and Clinical Toxicology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Kunlong Qu
    Department of Occupational Medicine and Clinical Toxicology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Guanghao Yan
    Department of Occupational Medicine and Clinical Toxicology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
  • Xiya Wang
    Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, 100020, China.
  • Yuguo Song
    Department of Occupational Medicine and Clinical Toxicology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. songrain123@hotmail.com.

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