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A_Generic_Knowledge_Based_Medical_Diagnosis_Expert_System.pdf
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Description:
Accepted manuscript
Type
Conference PaperAuthors
Huang, XinTang, Xuejiao
Zhang, Wenbin
Zhang, Ji
Zhang, Mingli
Gan, Wensheng
Pei, Shichao
Liu, Zhen
Huang, Yiyi
KAUST Department
Computer ScienceComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2021-12-30Online Publication Date
2021-12-30Print Publication Date
2021-11-29Permanent link to this record
http://hdl.handle.net/10754/675047
Metadata
Show full item recordAbstract
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.Citation
Huang, X., Tang, X., Zhang, W., Zhang, J., Zhang, M., Gan, W., … Huang, Y. (2021). A Generic Knowledge Based Medical Diagnosis Expert System. The 23rd International Conference on Information Integration and Web Intelligence. doi:10.1145/3487664.3487728Sponsors
This work was supported by a NVIDIA GPU Grant.Publisher
ACMConference/Event name
23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021ISBN
9781450395564arXiv
2110.04439Additional Links
https://dl.acm.org/doi/10.1145/3487664.3487728ae974a485f413a2113503eed53cd6c53
10.1145/3487664.3487728