Heart Disease Prediction System

Cardiac disease is a major cause of death throughout the world. It is hard to know or predict by medical practitioners as it requires expertise and higher knowledge of prediction. The environment in healthcare sector is information rich but it have lacks of knowledge. A lot of data is available in healthcare systems over the internet but there is a lack of effective analysis tool to discover hidden patterns in data. An automated or self- made system will increase medical efficiency and decrease cost and time. This software goal to know or predict the occurrence of a disease based on the data which is collected from Kaggle. The Main aim is to extract the hidden patterns by applying Machine Learning techniques on the dataset and to predict or know the presence value on a scale. The prediction of heart disease requires a large size of data which is too massive and complex to process and Analysis by conventional technique. Our goal is to find out an suitable technique that is efficient and accurate for prediction of cardiac disease.