Interpretation of feature impacts on predicted risk in the CoxBoost model using SHAP
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The impact of features on the predicted risk in the CoxBoost model was interpreted using SHapley Additive exPlanations (SHAP) values. A: Beeswarm plot of global feature importance, showing the distribution of SHAP values for each feature across all samples, where point color represents the feature value. B: Mean absolute SHAP values for global feature importance ranking. C:SHAP waterfall plot for a single sample, illustrating how each feature contributes to pushing the model's base value (average prediction) higher or lower. D~G: SHAP dependence plots illustrating the relationship between the feature value and its impact on the prediction (SHAP value), with D representing Montreal B classification, E showing C-reactive protein (CRP), F indicating fibrinogen (Fg), and G depicting albumin (ALB).
