Heart disease prediction through feature optimization, ensembles, and threshold calibration
Early detection of cardiovascular disease is critical for reducing mortality and enabling timely clinical intervention. While machine learning models have been widely applied to heart disease prediction, many studies prioritize overall accuracy rather than sensitivity, which is essential in medical screening tasks. Thi...