Analysis and Prediction of Heart Attack using Machine Learning Models

Abstract

The heart is the most important chunk of the human body. It acts as a pump and helps to circulate the blood throughout the whole body. Over the last few years, heart attacks have become the leading cause of mortality worldwide, and it takes millions of lives each year. Machine learning is a type of artificial intelligence that allows applications to become more accurate at predicting results without being explicitly programmed to do so. Machine learning is one of the methods of artificial intelligence for the prediction of different aspects in almost every field of study. In the medical field, it provides incalculable participation to determine various healthcare problems. The use of machine learning is to work on different models that learn from a training set and define the accuracy. Classification algorithms like support vector, K-nearest neighbors, and many others are useful for prediction of future outcomes.