Combination of Artificial Intelligence Techniques to Predict Cardiovascular Disease

The human body's most important organ is the heart. Cardiovascular illness is a catch-all phrase for a variety of disorders that affect your heart. The study of algorithms and statistical models used by computer systems to carry out certain tasks without clear instructions and instead relying on patterns and deduction is known as machine learning (ML). Different algorithms can forecast cardiac disease. A crucial criterion for evaluating an algorithm is accuracy. In this article, a combination method based on naive bayes and random forest was suggested. Calculated parameters include accuracy, classification error, F-measure, recall, and precision. The hybrid algorithm that has been suggested has a 92% accuracy rate.