Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System

Authors

DOI:

https://doi.org/10.4108/eai.15-1-2020.162736

Keywords:

DHD-MFI, CAD, ECG, BP, CP, Mamdani Inference

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.

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Published

15-01-2020

How to Cite

1.
Naseer I, Shoaib Khan B, Saqib S, Nadeem Tahir S, Tariq S, Saleem Akhter M. Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System. EAI Endorsed Scal Inf Syst [Internet]. 2020 Jan. 15 [cited 2024 Nov. 13];7(26):e3. Available from: https://publications.eai.eu/index.php/sis/article/view/2118