Nengyi Wang

Abstract Esophagogastric varices (EGV) in liver cirrhosis patients within the intensive care unit (ICU) is a significant medical concern. This study aims to develop and validate a machine learning (ML) model to predict the early mortality of those patients. Medical information was extracted from Intensive Care (MIMIC)-IV database, and 793 cirrhotic patients accompanied with EGV were enrolled, randomly assigned to the training group and the test group in a 7:3 ratio.

1 INTRODUCTION Hepatocellular carcinoma (HCC), the primary form of hepatic carcinoma and a prevalent malignant tumour, is associated with a poor prognosis.1 Various risk factors, such as cirrhosis, autoimmune hepatitis, HBV or HCV infection, nonalcoholic fatty liver disease and alcohol abuse, contribute to HCC progression.2-4 The aggressive proliferation, metastatic capacity and high drug resistance rates of HCC cells are major factors contributing to their invasive behaviour.5, 6 Despite...