generic heart diseases prediction and application of genetic algorithms in healthcare systems

Abstract

In this paper we present a cardiovascular diseases prediction which is referred to as heart diseases. A detail review and application of genetic algorithms in healthcare systems including machine learning algorithms were evaluated. The cardiovascular disease involves narrowed or blocked blood vessels that can lead to a heart attack, angina or stroke, and other heart failures such as muscle, valves or rhythm, which is one of the largest causes of morbidity and mortality among the world population. According to our analysis and results obtained between 85-89 percent of ages greater than 40 years were seriously affected by cardiovascular diseases which provides an imperative result in regards to the previous Ebola outbreak in West Africa in 2014-2016 and the current COVID-19 pandemic of which the aging population were more affected. Our results also indicate, the higher the generation the better prediction and performance and more complex the algorithm. However, with GA and ML approaches are useful to predict the output from the existing data and to match-up the probability computation against the cardiovascular diseases’ dataset.