An Intelligent System for diagnosis of Cardiovascular Disease empowered with Fuzzy Inference System

Diagnosis of Cardiovascular Disease empowered with Fuzzy Inference System

Abstract

Today cardiovascular disease is a public health problem worldwide because the number of affected is increasing, that diseases compromise the quality of life, many incur chronicity, and can lead to death. Cardiovascular diseases are the main source of human life loss, taking an expected 17.9 million lives consistently. It’s an alarming threat to global health. Recognizing those at the utmost possibility of cardiovascular diseases and ensuring they obtain suitable medication can avoid impulsive losses. Lack of medical facilities, inaccurate diagnosis, medication errors, and inappropriate or unnecessary treatment are other causes to increase in the mortality rate. Artificial Intelligence innovations in the medical sector can provide better, faster, more comprehensive diagnoses and it can increase the survival rate of patients. Therefore, we developed an intelligent system based on fuzzy logic to diagnose the disease at an early stage. Our proposed system is an extension of the Mamdani standard fuzzy logic controller. This system is based on several input variables such as blood pressure, cholesterol, sugar level, ECG, Obesity and heart rate. All implementation of this system is done on MATLAB software.