Analytical study on cardiovascular health issues prediction using decision model-based predictive analytic techniques

Abstract

The Healthcare industry has grown tremendously in recent years providing best possible medical facility in such an effective manner, i.e., in terms of time as well as cost. Healthcare industry needs to define the standard and need to bring the analytical approach to next level. In this Paper, we have gone through various researchers ideas that represent their approach to effectively provide the solutions regarding prediction of various cardiovascular health issues at multiple levels. Predictive analytics differ from the descriptive and prescriptive analytics by utilizing patient’s medical records and analyze them with various statistical techniques as well as advanced machine learning algorithms. This paper will present recent research using various predictive analytical tools and techniques in order to analyze the cardiovascular health issues and in predicting the future outcome of the analysis with much efficient and effective way. There is a need to analyze and examine possible future work to have a better understanding of applying more hybrid and effective algorithms.