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Design and development of Fuzzy Expert System for diagnosis of hypertension

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Main Authors: Azian Azamimi, Abdullah, Zulkarnay, Zakaria, Nur Farahiyah, Mohammad
Other Authors: azamimi@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Fuzzy Expert System (FES)
Hypertension
Medical diagnosis
Blood pressure
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19483
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spelling my.unimap-194832012-05-31T07:37:09Z Design and development of Fuzzy Expert System for diagnosis of hypertension Azian Azamimi, Abdullah Zulkarnay, Zakaria Nur Farahiyah, Mohammad azamimi@unimap.edu.my zulkarnay@unimap.edu.my farahiyah@unimap.edu.my Fuzzy Expert System (FES) Hypertension Medical diagnosis Blood pressure Link to publisher's homepage at http://ieeexplore.ieee.org/ The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20’s, 30’s and 40’s years and is divided into male and female gender. The input data is collected from a total of 10 people which consists of male and female with different working background. The parameters used as input for this fuzzy expert system were age, Body Mass Index (BMI), blood pressure and heart rate. Hypertension is diagnosed if blood pressure is over than 140/90mmHg. Hypertension is called the silent killer because it has no symptoms and can cause serious disease if left untreated for a long time [8]. Thus, an intelligent and accurate diagnostic system is needed in order to threat the hypertension patient. In this study, we have proposed an expert system using fuzzy for diagnosis of hypertension. The diagnosis process, linguistic variables and their values were modeled based on expert’s knowledge and from existing literature. It is expected that our proposed Fuzzy Expert System can provide a faster, cheaper and more accurate result compared with other traditional methods. 2012-05-31T07:37:09Z 2012-05-31T07:37:09Z 2011-01-24 Working Paper p.113-117 978-0-7695-4336-9 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5730330 http://hdl.handle.net/123456789/19483 en Proceedings of the 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2011) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fuzzy Expert System (FES)
Hypertension
Medical diagnosis
Blood pressure
spellingShingle Fuzzy Expert System (FES)
Hypertension
Medical diagnosis
Blood pressure
Azian Azamimi, Abdullah
Zulkarnay, Zakaria
Nur Farahiyah, Mohammad
Design and development of Fuzzy Expert System for diagnosis of hypertension
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
Azian Azamimi, Abdullah
Zulkarnay, Zakaria
Nur Farahiyah, Mohammad
format Working Paper
author Azian Azamimi, Abdullah
Zulkarnay, Zakaria
Nur Farahiyah, Mohammad
author_sort Azian Azamimi, Abdullah
title Design and development of Fuzzy Expert System for diagnosis of hypertension
title_short Design and development of Fuzzy Expert System for diagnosis of hypertension
title_full Design and development of Fuzzy Expert System for diagnosis of hypertension
title_fullStr Design and development of Fuzzy Expert System for diagnosis of hypertension
title_full_unstemmed Design and development of Fuzzy Expert System for diagnosis of hypertension
title_sort design and development of fuzzy expert system for diagnosis of hypertension
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/19483
_version_ 1643790617474498560
score 13.214268

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