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Knowledge Management in ESMDA: Expert System for Medical Diagnostic Assistance

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dc.contributor.author Abu-Naser, Samy S.
dc.contributor.author Al-Dahdooh, R.
dc.contributor.author Mushtaha, A.
dc.contributor.author El-Naffar, M.
dc.date.accessioned 2019-05-31T17:26:25Z
dc.date.accessioned 10/28/2010
dc.date.accessioned 10/28/2010
dc.date.available 2019-05-31T17:26:25Z
dc.date.available 10/28/2010
dc.date.issued 2010
dc.identifier.citation ICGST-AIML Journal,10(1), pp. 31-40 en_US
dc.identifier.uri http://dstore.alazhar.edu.ps/xmlui/handle/123456789/425
dc.description.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. en_US
dc.language.iso en_US en_US
dc.subject Knowledge Management en_US
dc.subject CLIPS language en_US
dc.subject Expert Systems en_US
dc.subject Medical System en_US
dc.title Knowledge Management in ESMDA: Expert System for Medical Diagnostic Assistance en_US
dc.type Article en_US


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