• DocumentCode
    3479176
  • Title

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

  • Author

    Ibrahim, Fatimah ; Ali, Juliana Basheer ; Jaais, Fathilah ; Taib, Mohd Nasir

  • Author_Institution
    Fac. of Eng., Malaya Univ., Kuala Lumpur, Malaysia
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    430
  • Abstract
    Describes a knowledge-based system employing certain expert system rules to detect different kinds of eye diseases found in Malaysia. The types of eye diseases that can he detected with this system are allergic or infectious conjunctivitis, secondary and senile cataracts, 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 EXSYS. The expert rules were developed based on the symptoms of each type of eye disease, and they were presented using tree-graph forward-chaining with a depth-first search method. In order to enhance user interaction with the system, graphical user interfaces were employed. Previously, several similar systems have been presented, but they were limited to detecting a single disease and also required an expert medical officer to operate them. The expert system described in this paper is able to detect and give early diagnosis of five types of eye diseases, including senile, secondary, open-angle, acute, allergic and infectious diseases
  • Keywords
    diseases; eye; forward chaining; graphical user interfaces; medical diagnostic computing; medical expert systems; tree searching; EXSYS; Malaysian population; acute glaucoma; allergic conjunctivitis; depth-first search method; dry eyes syndrome; expert system rules; eye disease early diagnosis expert system; graphical user interfaces; infectious conjunctivitis; keratitis; knowledge-based system; medical expert system; object-oriented expert system shell; open-angle glaucoma; secondary cataract; senile cataract; symptoms; tree graph forward chaining; user interaction; Diagnostic expert systems; Diseases; Expert systems; Eyes; Graphical user interfaces; Knowledge based systems; Medical diagnostic imaging; Medical expert systems; Search methods; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology
  • Print_ISBN
    0-7803-7101-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2001.949629
  • Filename
    949629