A Systematic Comparative Study of Classical and Ensemble Learning Models for Scalable Cardiovascular Disease Prediction
Cardiovascular disease (CVD) remains one of the leading causes of mortality worldwide, creating a strong need for accurate and scalable prediction systems capable of supporting early clinical diagnosis. Existing studies on cardiovascular prediction often focus on limited datasets or evaluate only a small number of mach...