Enhanced Chronic Heart Disease Prediction Using Feature Engineering and Genetic Algorithm Based Hyperparameter Optimization

The accurate prediction of chronic heart disease represents a critical need for conducting appropriate interventional actions and individual patient care. The proposed research presents a supervisory machine learning framework combining cutting edge feature engineering with hyperparameter optimization to boost prediction capabilities.