Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis

Key Points

• The aim is to develop a machine learning model to predict chronic critical illness in ICU patients suffering from acute pancreatitis.
• Development of a machine learning model utilizing clinical data.
• Eight clinical variables were selected for predicting outcomes.
• External validation of the model to assess reliability.
• The model effectively predicts chronic critical illness.
• Validation confirms high accuracy in predicting outcomes for ICU patients with acute pancreatitis.

Abstract