Machine learning-based prediction model for 28-day mortality in acute kidney injury patients with liver cirrhosis: A MIMIC-IV database analysis

This study successfully developed a machine learning model for predicting 28-day mortality in AKI patients with liver cirrhosis. The model demonstrated superior clinical decision-making value compared to traditional scoring systems, particularly in moderate-risk threshold intervals. The findings emphasize the crucial role of acid-base balance indicators in mortality risk assessment, providing valuable insights for clinical intervention strategies.