Heart Disease Prediction Using Machine Learning Techniques
S. Guruprasad, Valesh Levin Mathias, Winslet Dcunha
Abstract
Consequent to the modern world life style and the increase in heart diseases every year, people’s lives are at risk. Heart diseases have become one of the most common reasons for fatalities these days, including in the young. Hence it has become very necessary to search and find the simplest and best solutions to predict the risk of getting these diseases in advance so that necessary steps can be taken to save the lives of people. This paper tries to find and produce a solution using certain medical datasets that could help predict the risk of heart diseases based on various parameters to find the percentage and level of risk of a patient. The predicted results can be used as a basis for the further steps that the user will choose to take and thus reduce unnecessary costs such as tests, scans and other expenses in many cases. The overall objective of our work is to predict the chances of getting a heart disease with few tests and attributes for the presence of heart diseases