Enhanced Fuzzy Resolution Appliance for Identification of Heart Disease in Teenagers

Abstract

The forecast of a Myocardial infarction in youngsters is a significant challenge for cardiac experts and technologists because its symptoms and chemical levels of biomarkers in the blood are different from mature adults. Deployment of an intelligent method in this context is also a challenging task. The proposed method of this article for heart diseases is Mamdani fuzzy inference system. This intelligent system takes 14 different input parameters. These are CP (“chest pain”), BP (“blood pressure”), LDL (“bad cholesterol”), ED (“energy drink”), BS (“blood sugar”), HB (“heartbeat”), FH (“family history”), and LOP (“lack of physical activity”), HOA (“history of autoimmune disease”), HD (“unhealthy diet”), and D (“drug use”). The proposed system is able to predict the heart situation as an output which is named as “Chance”. The proposed system indicates whether Myocardial infarction risk is moderate, mild or severe on the basis of some mathematical calculations. For this purpose, various type of standard mathematical functions has been used. The proposed system is specifically designed for teenagers’ heart health issue and uses more variables as compared to any other intelligent system, so it gives more accurate results about teenagers’ heart health than any other system.