"Framingham CVD Dataset"

"The Framingham Heart Study dataset is widely used for cardiovascular risk prediction and contains over 4,000 patient records with demographic, behavioral, and clinical attributes. In total, the dataset contains 16 columns and 15 attributes. The primary objective is to estimate the 10-year risk of coronary heart disease (CHD) using features such as age, blood pressure, cholesterol, smoking habits, and diabetes status. The dataset supports supervised classification tasks and provides a reliable benchmark for evaluating machine learning models in healthcare. Its structured design and clinically relevant variables make it suitable for developing predictive, interpretable, and data-driven risk assessment systems for early screening and preventive decision-making."