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Knowledge Management in ESMDA: Expert System for Medical Diagnostic Assistance
S. Abu Naser, R. Al-Dahdooh, A. Mushtaha and M. El-Naffar
Faculty of Engineering & Information Technology, Al-Azhar University, Gaza, Palestine 
| @ARTICLE |
{P1121026153, |
| AUTHOR = |
{S. Abu Naser and R. Al-Dahdooh and A. Mushtaha and M. El-Naffar}, |
| TITLE = |
{Knowledge Management in ESMDA: Expert System for Medical Diagnostic Assistance}, |
| JOURNAL = |
{ICGST International Journal on Artificial Intelligence and Machine Learning, AIML}, |
| YEAR = |
{2010}, |
| MONTH= |
{October}, |
| VOLUME = |
{10}, |
| ISSUE = |
{I}, |
| PAGES= |
{31--40}, |
| ABSTRACT= |
{This research involved designing a prototype expert system that helps patients in diagnosing their diseases and offering them the proper advice; furthermore, the knowledge management used in the expert system is discussed. One of the main objectives of this research was to find a proper language for representing patient's medical history and current situation into a knowledge base for the expert systems to be able to carry out the consultation effectively. Production rules were used to capture the knowledge. The expert system was developed using CLIPS(C Language Integrated Production System) with Java Interface. The expert system yielded good results in the analysis of the medical cases tested and the system was able to determine the correct diagnosis in all cases}, |
| NOTE= |
{Knowledge Management, Expert System, CLIPS, Production System, Medical System}}
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