Cardiovascular Disease Prediction Data Mining Course Project

Overview This project focuses on predicting cardiovascular diseases using patient clinical data. It includes both binary classification (disease vs no disease) and multiclass classification (different types or severities of disease).

Features Used

• age: Age of the patient

• gender: Gender (0 = Female, 1 = Male)

• chestpain: Type of chest pain

• restingBP: Resting blood pressure (mm Hg)

• serumcholestrol: Serum cholesterol (mg/dl)

• fastingbloodsugar: Fasting blood sugar > 120 mg/dl (1 = True, 0 = False)

• restingrelectro: Resting ECG results

• maxheartrate: Maximum heart rate achieved

• exerciseangia: Exercise-induced angina (1 = Yes, 0 = No)

• oldpeak: ST depression induced by exercise

• slope: Slope of peak exercise ST segment

• target: Heart disease presence/type