A Comparative Analysis On Cleveland And Statlog Heart Disease Datasets Using Data Mining Techniques

Abstract

In today’s age deaths due to cardiovascular diseases are turn out to be a major problem. Factors such as high blood pressure, diabetes, high cholesterol level, hypertension, smoking and obesity are high risk to cause cardiovascular disease. Many researchers are using different datasets of heart patients to early diagnose the cardiovascular disease such as Cleveland and Statlog heart disease dataset. This study aims to compare the results of previous studies using Cleveland and Statlog heart disease datasets. We analyzed that different machine learning and deep learning techniques had been applied on these datasets which showed different resultson Cleveland and Statlog datasets.