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

Figure 5 Five most important variables and their impact on the category boosting model output by shapley additive explanations analysis. A: Summary of shapley additive explanations analysis on the dataset: Each dot represents a case, with the color indicating the feature’s value - blue for the lowest range and red for the highest range; B: The ranking of the five variables’ importance is determined by shapley additive explanations analysis. MPDD: Main pancreatic duct diameter; EBL: Estimated blood loss; BMI: Body mass; SHAP: Shapley additive explanations.