Hybrid Random Forest Linear Model(English)

• leverages diverse patient attributes to accurately predict the risk of developing heart disease. It utilizes a combination of feature engineering, feature selection, and an ensemble of machine learning algorithms to effectively capture the complex relationships between patient characteristics and heart disease outcomes
• KNN, LIME, LVEF, MLP, SHAP, SVM, XAI, XGBoost
• Artificial intelligence, Model(ing), Cardiology, Risk factor
• https://doi.org…0.2023.10263865