Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses
Fig 7
Individual prediction explanations using SHAP waterfall plots.
Panel A: Dataset 1, representative Non-CKD prediction. Panel B: Dataset 2, representative Non-CKD prediction. The plots provide transparent, case-level clinical reasoning by showing how each feature contribution shifts the model output from the baseline toward the final decision.