PREDICTING THE PRESENCE OF HEART DISEASE USING MACHINE LEARNING

Earlier techniques in predicting the heart disease have not been much accurate in terms of prediction and analysis. The advancement in Computer Science has brought vast opportunities in different areas. One of it is machine learning which is widely utilized in different domains. Machine learning techniques are used to predict the medical condition at an early stage of human life. We will use Heart Disease related dataset to carry out our experiments. In this system the most known ensemble learning algorithms Random Forest and Support Vector Machine will be applied to create a classifier model which will predict disease with higher performance and accuracy.