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Expert system for early diagnosis of eye diseases infecting the Malaysian population

This paper describes a knowledge based system employing certain expert system rules to detect different kind of eye diseases found in Malaysia. The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucom...

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Main Authors: Ibrahim, F., Basheer Ali, J., Jaais, F., Nasir Taib, M.
Format: Conference or Workshop Item
Language:English
Published: 2001
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/9296/1/Expert_system_for_early_diagnosis_of_eye_diseases_infecting_the_Malaysian_population.pdf
http://eprints.um.edu.my/9296/
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035785509&partnerID=40&md5=bb72ada9899e8b2ca5f6173f13deb72f http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=949629&tag=1
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spelling my.um.eprints.92962017-11-01T03:52:50Z http://eprints.um.edu.my/9296/ Expert system for early diagnosis of eye diseases infecting the Malaysian population Ibrahim, F. Basheer Ali, J. Jaais, F. Nasir Taib, M. T Technology (General) TA Engineering (General). Civil engineering (General) This paper describes a knowledge based system employing certain expert system rules to detect different kind of eye diseases found in Malaysia. The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucoma and acute glaucoma, keratitis and dry eyes syndrome. These are the most frequent eye diseases infecting the Malaysian population. The project was designed and programmed via the object-oriented expert system shell software, EXSYS. Expert rules were developed based on the symptoms of each type of the eye diseases, and they were presented using a tree graph forward chaining with depth search first method. In order to enhance user interaction with the system, graphical user interfaces were employed. Previously, several similar works have been published, but they are limited to detecting a single disease and also required expert medical officer to operate. The expert system described in this paper is able to detect and gives early diagnosis of five types of eye diseases; inclusive of senile, secondary, open angle, acute, allergic and infections. 2001 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/9296/1/Expert_system_for_early_diagnosis_of_eye_diseases_infecting_the_Malaysian_population.pdf Ibrahim, F. and Basheer Ali, J. and Jaais, F. and Nasir Taib, M. (2001) Expert system for early diagnosis of eye diseases infecting the Malaysian population. In: IEEE Region 10 International Conference on Electrical and Electronic Technology, 2001, Singapore. http://www.scopus.com/inward/record.url?eid=2-s2.0-0035785509&partnerID=40&md5=bb72ada9899e8b2ca5f6173f13deb72f http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=949629&tag=1
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Ibrahim, F.
Basheer Ali, J.
Jaais, F.
Nasir Taib, M.
Expert system for early diagnosis of eye diseases infecting the Malaysian population
description This paper describes a knowledge based system employing certain expert system rules to detect different kind of eye diseases found in Malaysia. The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucoma and acute glaucoma, keratitis and dry eyes syndrome. These are the most frequent eye diseases infecting the Malaysian population. The project was designed and programmed via the object-oriented expert system shell software, EXSYS. Expert rules were developed based on the symptoms of each type of the eye diseases, and they were presented using a tree graph forward chaining with depth search first method. In order to enhance user interaction with the system, graphical user interfaces were employed. Previously, several similar works have been published, but they are limited to detecting a single disease and also required expert medical officer to operate. The expert system described in this paper is able to detect and gives early diagnosis of five types of eye diseases; inclusive of senile, secondary, open angle, acute, allergic and infections.
format Conference or Workshop Item
author Ibrahim, F.
Basheer Ali, J.
Jaais, F.
Nasir Taib, M.
author_facet Ibrahim, F.
Basheer Ali, J.
Jaais, F.
Nasir Taib, M.
author_sort Ibrahim, F.
title Expert system for early diagnosis of eye diseases infecting the Malaysian population
title_short Expert system for early diagnosis of eye diseases infecting the Malaysian population
title_full Expert system for early diagnosis of eye diseases infecting the Malaysian population
title_fullStr Expert system for early diagnosis of eye diseases infecting the Malaysian population
title_full_unstemmed Expert system for early diagnosis of eye diseases infecting the Malaysian population
title_sort expert system for early diagnosis of eye diseases infecting the malaysian population
publishDate 2001
url http://eprints.um.edu.my/9296/1/Expert_system_for_early_diagnosis_of_eye_diseases_infecting_the_Malaysian_population.pdf
http://eprints.um.edu.my/9296/
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035785509&partnerID=40&md5=bb72ada9899e8b2ca5f6173f13deb72f http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=949629&tag=1
_version_ 1643688524551028736
score 13.211869

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