The heart disease prediction using machine learning algorithms
A hybrid Multi-Layer Perceptron (MLP)–XGBoost model for heart disease prediction is proposed, combining the feature extraction capability of neural networks with the ensemble robustness of gradient boosting to enhance both predictive accuracy and reliability for cardiovascular disease diagnosis.