Design and development of Fuzzy Expert System for diagnosis of hypertension
Link to publisher's homepage at http://ieeexplore.ieee.org/
Saved in:
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Working Paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/19483 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-19483 |
|---|---|
| record_format |
dspace |
| 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 |