Wavelet Based Machine Learning Algorithms to Enhance Cardiovascular Disease Diagnosis

The heart is arguably one of the most vital organs of the human body, pumping blood and nutrients to all other organs. In recent years, the heart has become a popular topic of discussion as the amount of cardiovascular deaths continues to grow at an alarming rate worldwide. Early detection of such diseases plays a crucial role in resolving this health crisis. However, human errors combined with a lack of doctor availability often hinder accurate detection of heart diseases, especially in developing countries. In this study, we have developed a unique combination of machine learning and Wavelet Transforms as a means of detecting heart disease. In the future, this artificial intelligence tool could be implemented worldwide, allowing individuals to record their own heart beat and receive immediate diagnosis.