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A Methodologically Robust XGBoost Framework for Balanced Chronic Kidney Disease Prediction

Key takeaways

This study built a computer model to predict kidney disease. It focused on making the model fair for all types of patients. The results show the model works well for detection. This is a link, not proof that the model prevents disease, but it helps find it early.

Source

Article · OpenAlex, CKD works · 2026-10-09
https://doi.org/10.25258/ijddt.16.58s.155