CKD prediction system implementing MICE imputation, Borderline-SMOTE, RFE/Boruta feature selection, and ensemble learning models including Random Forest, XGBoost, and LightGBM.
python machine-learning random-forest scikit-learn feature-selection xgboost classification lightgbm ensemble-learning adaboost data-preprocessing predictive-modeling boruta smote bagging chronic-kidney-disease rfe medical-ai healthcare-ai ckd-detection
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Updated
Jun 18, 2026 - Jupyter Notebook