Conclusions
sepsis
SEPSIS
This study constructed and validated machine learning models to predict sepsis in patients with AP. The GBDT model, based on 13 predictive factors, showed promising performance in predicting sepsis in AP patients. A prediction model is a useful tool for the early identification of high-risk patients and timely clinical intervention.