Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System

Naseer, Iftikhar and Khan, Bilal Shoaib and Saqib, Shazia and Tahir, Syed Nadeem and Tariq, Sheraz and Akhter, Muhammad Saleem (2020) Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System. EAI Endorsed Transactions on Scalable Information Systems, 7 (26): e3. ISSN 2032-9407

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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.

Item Type: Article
Uncontrolled Keywords: DHD-MFI, CAD, ECG, BP, CP, Mamdani Inference
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Oct 2020 13:51
Last Modified: 08 Oct 2020 13:51
URI: https://eprints.eudl.eu/id/eprint/667

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