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Generic Medical Fuzzy Expert System for Diagnosis of Cardiac Diseases

by Smita Sushil Sikchi, Sushil Sikchi, Ali M. S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 13
Year of Publication: 2013
Authors: Smita Sushil Sikchi, Sushil Sikchi, Ali M. S.
10.5120/11147-6234

Smita Sushil Sikchi, Sushil Sikchi, Ali M. S. . Generic Medical Fuzzy Expert System for Diagnosis of Cardiac Diseases. International Journal of Computer Applications. 66, 13 ( March 2013), 35-44. DOI=10.5120/11147-6234

@article{ 10.5120/11147-6234,
author = { Smita Sushil Sikchi, Sushil Sikchi, Ali M. S. },
title = { Generic Medical Fuzzy Expert System for Diagnosis of Cardiac Diseases },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 13 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number13/11147-6234/ },
doi = { 10.5120/11147-6234 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:29.652568+05:30
%A Smita Sushil Sikchi
%A Sushil Sikchi
%A Ali M. S.
%T Generic Medical Fuzzy Expert System for Diagnosis of Cardiac Diseases
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 13
%P 35-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The logical thinking of medical practitioners play significant role in decision making about diagnosis and exhibit variation in decisions because of their approaches to deal with uncertainties and vagueness in the knowledge and information. Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems for approximate reasoning that can appropriately handle both the uncertainty and imprecision. The attempt has been made to explore the capabilities and potentialities of fuzzy expert systems for the emulation of thought in a much more general sense although confined to medical diagnosis. Generic medical fuzzy expert system for diagnosis of cardiac diseases is designed. Mathematical model is developed to predict the risk of heart disease and to compare with the performance of fuzzy expert system. Reported the user friendly decision support system developed for medical practitioners as well as patients. A mathematical model is developed to justify performance of fuzzy expert system.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy expert system generic framework medical diagnosis risk predictive model

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