An Expert System For
Diagnosing Eye Diseases
Using CLIPS
Associate Prof., Samy S. Abu Naser, Abu Zaiter A. Ola
Content

•
•
•
•
•
•
•
•

Introduction
Function of the System
Knowledge Base
Inference Engine
User Interface
CLIPS
Conclus...
Introduction (Human EYE)
● EYE is the vision
sensor of the
human body.
● There are many
eye diseases.
● EYE act as a
tunne...
Introduction (Medical Expert System)
● Computer-based methods are
increasingly used to improve the
quality of medical serv...
Function Of the System

Knowledge Base

Inference Engine

User interface
Knowledge Base
(defrule
Discharge_from_the_Eye3
(ifYesNochoise2 yes)=>
(printout t crlf crlf crlf" You
are suffering from
...
Inference Engine

● An inference engine
interprets and evaluates the
facts in the knowledge base
in order to provide an
an...
User Interface

● Communication
between the user and
the system is done
through the user
interface
CLIPS
● Expert system tool which provides a
complete environment for the
construction of rule and/or object
based expert s...
Conclusion
● The proposed system can help doctors and
patients in providing
● decision support system,
● interactive train...
References
[1] Russell, S. and P. Norvig, 2002.
Artificial

6] Rashid J. Q. and, Syed A. H.,2004. Design
of

Intelligence:...
Upcoming SlideShare
Loading in...5
×

Eye disease expert system

1,978

Published on

A presentation based on a research article related to eye disease diagnosis expert system.

Published in: Technology, Health & Medicine
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,978
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
47
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Eye disease expert system

  1. 1. An Expert System For Diagnosing Eye Diseases Using CLIPS Associate Prof., Samy S. Abu Naser, Abu Zaiter A. Ola
  2. 2. Content • • • • • • • • Introduction Function of the System Knowledge Base Inference Engine User Interface CLIPS Conclusion Reference
  3. 3. Introduction (Human EYE) ● EYE is the vision sensor of the human body. ● There are many eye diseases. ● EYE act as a tunnel to the inner body.
  4. 4. Introduction (Medical Expert System) ● Computer-based methods are increasingly used to improve the quality of medical services. ● Artificial Intelligence (AI) is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent.
  5. 5. Function Of the System Knowledge Base Inference Engine User interface
  6. 6. Knowledge Base (defrule Discharge_from_the_Eye3 (ifYesNochoise2 yes)=> (printout t crlf crlf crlf" You are suffering from Bacterial Conjunctivitis OR blepharitis.. "
  7. 7. Inference Engine ● An inference engine interprets and evaluates the facts in the knowledge base in order to provide an answer. ● The inference engine enables the expert system to draw deductions from the rules in the KB
  8. 8. User Interface ● Communication between the user and the system is done through the user interface
  9. 9. CLIPS ● Expert system tool which provides a complete environment for the construction of rule and/or object based expert systems. ● ● ● ● ● ● ● Knowledge Representation Portability Extensibility Interactive Development Verification/Validation Fully Documented Low Cost
  10. 10. Conclusion ● The proposed system can help doctors and patients in providing ● decision support system, ● interactive training tool ● expert advice. ● Currently system covers few number of eye diseases and expect to cover all the identified eye diseases in the future.
  11. 11. References [1] Russell, S. and P. Norvig, 2002. Artificial 6] Rashid J. Q. and, Syed A. H.,2004. Design of Intelligence: A Modern Approach, Prentice [10] http://www.umm.edu/ency/article/ an Expert System for Diagnosis of Coronary Hall, Second Edition. 003033.htm Artery Disease Using Myocardial Perfusion [11] http://www.strabismus.org/double_vision Imaging, National Conference on Emerging .html Technologies 2004. [2] Beverly G. Hope, Rosewary H. Wild, « An Expert Support System for Service Quality Improvement», Proceedings of the TwentySeventh Annual Hawaii International Conference on System Science, 1994. [5] Karagiannis S., Dounis A., Chalastras T., [7] Hatzilygeroudis P., Vassilakos J., and Tiropanis P., and Papachristos D.,2006. Tsakalidis A.,1994. An Intelligent Medical Design of Expert System for Search Allergy System for Diagnosis of Bone Diseases, and Selection of the Skin Tests using CLIPS, Proceedings of the International Conference International Journal Of Information on Medical Physics and Biomedical Technology, 3(1). Engineering (MPBE’94), Nicosia, Cyprus, [3] Turban E., 1992. Expert System and Applied Artificial Intelligence, Macmillan Publishing Company, New York. May 1994, Vol. I, pp.148-152. [8] Shu-Hsien L., 2005. Expert system methodologies and applications - a decade review from 1995 to 2004, Expert Systems with Applications, 28: 93-103. [4] Giarranto J. C., 1998. CLIPS User’s Guide, [9] http://www.mothernature.com/Library/ Version 6.22, 1998. Bookshelf/Books/16/69.cfm [12] http://www.allaboutvision.com/condit [13] Azaab S., Abu Naser S., and Sulisel O.,2000. A proposed expert system for selecting exploratory factor analysis procedures, Journal of the college of education, 4(2):9-26. [14] Jackson, P., 1999. Introduction to Expert Systems, Harlow, England: Addison Wesley Longman. Third Edition
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×