Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis

Figure 5 The SHapley Additive exPlanations force plot. Red features indicate an increased risk of acute suppurative cholecystitis (ASC), while blue features indicate a decreased risk. A: For patients with ASC, the model predicts a 97.5% probability of a positive result; B: For patients without ASC, the model predicts a 84.1% probability of a negative result; C: For patients with ASC, the model predicts a 58.4% probability of a negative result; D: For patients without ASC, the model predicts a 54.8% probability of a positive result.