Paper Info
Title
Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System
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.
Year
DOI
Venue
2020
10.4108/eai.15-1-2020.162736
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS
Keywords
DocType
Volume
DHD-MFI, CAD, ECG, BP, CP, Mamdani Inference
Journal
7
Issue
ISSN
Citations 
26
2032-9407
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Iftikhar Naseer100.34
Bilal Khan200.34
Shazia Saqib301.01
Syed Tahir400.34
Sheraz Tariq500.34
Muhammad Akhter600.34