Early and Accurate Detection of Cardiovascular Diseases

Abstract

A heart is integral organ for all living beings. Any disturbance in the heart causes disturbances in the whole body. We live in the modern era, and each day brings about significant shifts that have an impact on our lives in one way or another. One of the world's five leading causes of death is heart disease. As a result, the disease's prognosis is crucial because it enables the right decisions to be made at the right time. Machine learning and data mining use huge amounts of data to find and improve useful information. The process of defining a database and mining for hidden patterns and useful information is fundamental. When dealing with complicated non-linear problems and optimization algorithms' adaptability are helpful. In medical science, machine learning methods are used to solve real-world health issues like disease prediction and treatment. The decision tree algorithm outperforms all other classifiers and tests accuracy with 97.29 percent.