Research & Publications

Optimizing Heart Disease Prediction Models through SMOTE: Addressing Data Imbalance

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An Optimized Framework Based on Data Exploration and Dynamic Ensemble-Based Models for Breast Cancer Prediction

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An Optimal Framework Based on the GentleBoost Algorithm and Bayesian Optimization for the Prediction of Breast Cancer Patients' Survivability

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Predicting heart disease using machine learning techniques on electronic health records data

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