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Anees Sultana

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Open access Aug 2026

AN OPTIMIZED XGBOOST-BASED FRAMEWORK FOR HEART FAILURE RISK CLASSIFICATION

A machine learning framework for heart failure survival prediction that makes use of an optimized XGBoost model combined with the Synthetic Minority Over-sampling Technique (SMOTE) has the potential to enhance patient outcomes through accurate and prompt clinical decision-making.

Anees Sultana, S. Khanam · 0 citations

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