Paper Details: Downloads: 443
Serial Number: P1121026153
Title: Knowledge Management in ESMDA: Expert System for Medical Diagnostic Assistance
Authors: S. Abu Naser and R. Al-Dahdooh and A. Mushtaha and M. El-Naffar
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.
Keywords: Knowledge Management, Expert System, CLIPS, Production System, Medical System
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 10
Issue: 1
Submission Date: 6/20/2010 12:00:00 AM
Review Date: 10/9/2010 12:00:00 AM
Publishing Date: 12/3/2010 12:00:00 AM
Article Downloads: 443
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