An Optimal Machine Learning Framework for Early Detection of Heart Disease
Heart disease remains a major cause of mortality worldwide, creating a need for reliable early-risk identification. This study developed a cost-sensitive machine learning decision framework using 319,795 observations from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) dataset. The cleaned dataset contained...