A Simple Way to Predict Heart Disease Using AI

Early diagnosis of cardiovascular diseases in high-risk patients will help them make decisions about lifestyle changes and, in turn, minimise their complications. Due to asymptomatic illnesses like cardiovascular diseases, healthcare costs are exceeding the average national medical treatment cost and corporate budgets. The need for early identification and treatment of such diseases is critical. One of the developments in machine learning is the technology that has been used for disease prediction in many fields around the world, including the healthcare industry. Analysis has been attempted to classify the most influential heart disease causes and to reliably predict the overall risk using homogeneous techniques of data mining. This paper uses machine learning algorithms and selects the best one based on its classification report to find a simple way to predict heart disease. It helps to develop cost-effective software to predict heart disease for the betterment of mankind.