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

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.

Preview

PDF (Expert system for early diagnosis of eye diseases infecting the Malaysian population) Expert_system_for_early_diagnosis_of_eye_diseases_infecting_the_Malaysian_population.pdf - Published Version Download (243kB)

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 60749 Cited By (since 1996):2 Export Date: 29 January 2014 Source: Scopus Language of Original Document: English Correspondence Address: Ibrahim, F.; Biomedical Engineering Program, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia; email: fatimah@fk.um.edu.my References: Javitt, (1986) Computer in Medicine: Application and Possibilities, , W.B. Saunders Company, Philadelphia; Szolovits, P., (1982) Artificial Intelligence in Medicine, , West View Press, Inc., Colorado; Kulikowksi, C., Weiss, S., Computer-based models of glaucoma (1971) Computer in Biomedicine, , Department of Computer Science, Rutger University. Report no. 3; Ali, J.B., (2001) Undergraduate Thesis Report on Knowledge Based System to Diagnose Eye Diseases, pp. 55-85. , Faculty of Engineering, University of Malaya, March Sponsors: IEEE Region 10
Uncontrolled Keywords:	Knowledge based system, Medical expert system, Rules, Tree graph, Allergies, Computer aided diagnosis, Computer software, Diseases, Graphical user interfaces, Trees (mathematics), Medical expert systems, Expert systems
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	26 Mar 2014 02:17
Last Modified:	01 Nov 2017 03:52
URI:	http://eprints.um.edu.my/id/eprint/9296

Actions (login required)

View Item