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All datasets used in this project were taken from the [UCI Machine Learning Repository] (https://archive.ics.uci.edu/ml/datasets/Heart+Disease)
We are currently using the Hungarian, Switzerland and Cleveland datasets. Missing attributes were predicted using statistical measures. Entries which were still missing attributes were removed from the database.
The following attributes were considered in this study
age: Age in years sex: Sex cp: Chest pain type trestbps: Resting blood pressure chol: Serum cholestoral in mg/dl fbs: High fasting blood sugar restecg: Resting electrocardiographic results thalach: Maximum heart rate achieved exang: Exercise induced angina oldpeak: ST depression induced by exercise relative to rest slope: The slope of the peak exercise ST segment ca: Number of major vessels colored by flourosopy thal: Heart status as retrieved from Thallium test