Predicting the magnitude of risk for non-curative endoscopic submucosal dissection in superficial esophageal cancer using explainable artificial intelligence

Figure 5 SHapley Additive exPlanations interpretability analysis for the non-curative resection prediction model. A: Feature contribution summary. The horizontal axis indicates the Shapley Additive exPlanations value (log-odds impact on prediction); the vertical axis lists clinical predictors. Red and blue dots indicate high and low feature values, respectively; B: Predictor importance ranking. Bar length reflects the mean |SHapley Additive exPlanations| value, quantifying each predictor’s contribution to model decisions. SHAP: SHapley Additive exPlanations; CR: Circumferential ratio; EOM: Endoscopic ultrasound or magnifying endoscopy with narrow-band imaging; PPT: Postoperative pathological type.