HEART DISEASE PREDICTION BY ANALYSING VARIOUS PARAMETERS USING FUZZY LOGIC

Abstract

In modern world, heart diseases are rapidly increased due to the food habit, stress, genetic reason and also lack of exercise. The prediction of the heart disease helps the people to take care of their health. Nowadays, Health care institutes contains huge amount of information, which contains hidden information of patients health. This hidden information is useful for making effective decisions. This research mainly focuses on the patient even before facing a sign of angina pectoris. This heart disease attacks a person so instantly that it hardly gets treated with. Hence medical fraternity has a challenging task to diagnose a patient correctly on time. Till now, a minimum of 13 to 15 parameters were used to predict the heart disease. But as an advancement of the existing system, only five main parameters are used in this. The factors such as high cholesterol, high blood pressure, blood sugar level, obesity are the major risk causes heart diseases. We designed the system using Matlab. Computer based information along with advanced Data mining techniques like fuzzy logic is used for predicting Heart disease diagnosis.