Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis | Synapse
April 10, 2026Open Access
Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis
Puntos clave
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.
Resumen
We developed and validated an ML model using eight clinical variables to predict CCI risk in ICU patients with AP.