Abstract
The death ratio caused by heart diseases is threating around the world. Efficient and accurate diagnosis through information technology can turn over this picture. This article proposed Diagnosis Heart Disease using Mamdani Fuzzy Inference (DHD-MFI) based expert system which intelligently diagnoses heart disease. In an explorative pattern, the current research has taken six conducive variables for the purpose of fuzzy logic technical enhancement in the diagnosis of heart disease. The input fields comprise of age, chest pain, electrocardiography, blood pressure systolic, diabetic and cholesterol are transmitted with the help of Fuzzy rules which are framed in the light of low, normal, high and very high intensity among the input variations. The single output is obtained as a clinical decision support system for the heart diagnosis by using the Mamdani Inference method. The proposed DHD-MFI based expert system gives 94% overall accuracy.
Highlights
Information Technology plays an important role in every aspect of life in this era
The fuzzy logic system based on Computer-Aided Diagnostic (CAD) with five input variables that consume a short time for the medical process to decide the diagnosis of heart disease
In proposed Diagnosis Heart Disease using Mamdani Fuzzy Inference (DHD-MFI) expert system based on six input parameters like Age (A), Blood Pressure systolic (BP), Cholesterol (C), Diabetic (D), Chest Pain (CP) and Electrocardiography (ECG) and one output Diagnosis Heart Disease (DHD) is used as shown in figure 2
Summary
Information Technology plays an important role in every aspect of life in this era. Decision support systems based on knowledge, proficiency and logical reasoning ability [1]. The CAD system is very helpful in the diagnosis of heart disease and the suffering level of the patients In this context, CAD is frequently used for the diagnosis of cardiovascular diseases all over the world but still, medical data faces problems to properly implement it [4, 6]. CAD is frequently used for the diagnosis of cardiovascular diseases all over the world but still, medical data faces problems to properly implement it [4, 6] To handle this problem the researchers presented a system that is based on fuzzy logic for the heart disease diagnosis. Adeli and Neshat designed a fuzzy expert system for cardiovascular disease diagnosis based on V.A. Medical Centre, Long Beach and Cleveland Clinic Foundation database [7]. The accuracy of the system was 94% which is better than the existing fuzzy expert systems [7]
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