Research Article
Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System
@ARTICLE{10.4108/eai.15-1-2020.162736, author={Iftikhar Naseer and Bilal Shoaib Khan and Shazia Saqib and Syed Nadeem Tahir and Sheraz Tariq and Muhammad Saleem Akhter}, title={Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={7}, number={26}, publisher={EAI}, journal_a={SIS}, year={2020}, month={1}, keywords={DHD-MFI, CAD, ECG, BP, CP, Mamdani Inference}, doi={10.4108/eai.15-1-2020.162736} }- Iftikhar Naseer
Bilal Shoaib Khan
Shazia Saqib
Syed Nadeem Tahir
Sheraz Tariq
Muhammad Saleem Akhter
Year: 2020
Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System
SIS
EAI
DOI: 10.4108/eai.15-1-2020.162736
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.
Copyright © 2020 Iftikhar Naseer et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
