Affiliation:
1. Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur. Maharashtra, India
Abstract
Machine learning proves to be effective in assisting in making decisions and predictions from the large quantity of data produced by the health care industry. This project aims to predict future heart disease by analysing data of patients which classifies whether they have heart disease or not using machine learning algorithm. Machine Learning techniques can be a boon in this regard. Even though heart disease can occur in different forms, there is a common set of core risk factors that influence whether someone will ultimately be at risk for heart disease or not. By collecting the data from various sources, classifying them under suitable headings & finally ana lysing to extract the desired data we can say that this technique can be very well adapted to do the prediction of heart disease.
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