Abstract: Coronary Heart Disease is a major cause of death in worldwide. It is also called ischemic heart disease or coronary artery disease. As per as the WHO statistical report is concern, 17.9 million people die every year from CVDs, an estimated 32% of all deaths worldwide, and patients die mainly because of inappropriate and non-affordable treatment. Heart disease is a worldwide health crisis in the present scenario. This disease can be curable with early diagnosis and proper treatment. The purpose of this paper is to establish some predictive models using Machine Learning algorithms by taking a real time CHD dataset. In this paper, we have shown some real-time experiments and observations with the help of some Machine Learning algorithms, and also shown a clear picture on the predictive analysis on medical diagnosis of the Coronary Heart Disease (CHD) using Machine Learning algorithms using which patients may get accurate data so as to diagnose better for their early treatment.
Keywords: Algorithm, Classifier, Coronary Heart Disease, Machine Learning, Prediction.
| DOI: 10.17148/IJARCCE.2021.101202