A Generic Knowledge Based Medical Diagnosis Expert System

Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


In this paper, we design and implement a generic medical knowledge based system (MKBS) for identifying diseases from several symptoms. In this system, some important aspects like knowledge bases system, knowledge representation, inference engine have been addressed. The system asks users different questions and inference engines will use the certainty factor to prune out low possible solutions. The proposed disease diagnosis system also uses a graphical user interface (GUI) to facilitate users to interact with the expert system. Our expert system is generic and flexible, which can be integrated with any rule bases system in disease diagnosis.
Original languageEnglish (US)
Title of host publicationThe 23rd International Conference on Information Integration and Web Intelligence
Number of pages5
ISBN (Print)9781450395564
StatePublished - Dec 30 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-01-27
Acknowledgements: This work was supported by a NVIDIA GPU Grant.


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