AIBullisharXiv – CS AI · 9h ago6/10
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Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease
Researchers developed Binary Gaussian Copula Synthesis (BGCS), an LLM-augmented data augmentation method that addresses severe class imbalance in chronic kidney disease datasets to improve early dialysis prediction. Tested on 15,169 CKD patients, BGCS outperformed existing methods like SMOTE and CTGAN, achieving 78-87% minority-class recall and enabling deployment in interpretable clinical decision-support systems.