Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study

Figure 2 Flowchart: Method for sample selection, model training, validation, feature selection, and determination of the final model. The overall process of data extraction, training, and testing. AMY: Amylase; CT: Computed tomography; LR: Logistic regression; RF: Random forest; GBDT: Gradient boosting decision tree; LGBM: Light gradient boosting machine; XGBoost: Extreme gradient boosting; CatBoost: Category boosting; RFE: Recursive feature elimination; SHAP: Shapley additive explanation.