Cardiovascular disease classification using different algorithms

Abstract

The coronary heart stroke rates are increasing rapidly in people of all ages and gender. Cardiovascular diseases are posing a crucial and critical challenge and also the inaccurate prediction may lead to fatality. Contemporary prediction techniques like machine learning have been a useful approach in predicting these attacks with the help of the healthcare industry. In this paper, different methods are suggested to find a good-sized feature set by applying various prediction techniques which leads to enhancement of accuracy. The predictive model is delivered with various machine learning strategies.