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An Interpretable Machine Learning Framework for Early Chronic Kidney Disease Prediction using XGBoost and SHAP

Article No results yet Not peer reviewed

Key takeaways

This is a technical paper about using computer programs to predict early kidney disease. The record does not include an abstract, so the specific results are not available here. It is a study that is planned or published, but we cannot see the data yet.

Who did this work

Louis Antonio Steven · Benedictus Darren Wibisono · Regina Mulia

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-10-10
https://doi.org/10.5281/zenodo.23281741