Heart disease prediction, machine learning, Support Vector Machine (SVM), neural networks, clinical decision support, risk assessment, predictive modeling, feature importance, healthcare analytics, early detection, cardiovascular health, data-driven diagnostics, medical informatics, precision medicine, ROC-AUC
