Heart Diseases Prediction Using Back Propagation Neural Network with Butterfly Optimization

When Using the optimization approach, it is possible to resolve a wide range of real-world issues in many disciplines, including business, research, industry, and medical. Coronary heart disease (CHD) and mental illness are two of the leading causes of morbidity and mortality worldwide. Numerous, and occasionally unexpected, connections between CHD and mental illness have been found over the years, and some evidence even points to the possibility that these conditions may be related. The exact nature of these connections has not yet been confirmed with certainty, though. As soon as possible when we find heart diseases in person having heart disease can able to cure the diseases fully in a proper treatment. The early stage of heart diseases prediction is not so easily to get best outcome. There are numerous publications in the current system that attempt to forecast cardiac disease, but the results are often inaccurate. Butterfly Optimization (BO) algorithm and Back Propagation Neural Network are used in this proposed system to detect cardiac illnesses (BPNN). This algorithm is combining to give a better result for heart diseases prediction in people.