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

doi:10.1145/3487664.3487728

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 proceeding › Conference contribution

1 Scopus citations

Abstract

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 language	English (US)
Title of host publication	The 23rd International Conference on Information Integration and Web Intelligence
Publisher	ACM
Pages	462-466
Number of pages	5
ISBN (Print)	9781450395564
DOIs	https://doi.org/10.1145/3487664.3487728
State	Published - 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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10.1145/3487664.3487728

https://repository.kaust.edu.sa/bitstream/10754/675047/1/A_Generic_Knowledge_Based_Medical_Diagnosis_Expert_System.pdf

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@inproceedings{c385a61d61ff4a4ba2d7def70ae0f2da,

title = "A Generic Knowledge Based Medical Diagnosis Expert System",

abstract = "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.",

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

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

year = "2021",

month = dec,

day = "30",

doi = "10.1145/3487664.3487728",

language = "English (US)",

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booktitle = "The 23rd International Conference on Information Integration and Web Intelligence",

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TY - GEN

T1 - A Generic Knowledge Based Medical Diagnosis Expert System

AU - Huang, Xin

AU - Tang, Xuejiao

AU - Zhang, Wenbin

AU - Zhang, Ji

AU - Zhang, Mingli

AU - Gan, Wensheng

AU - Pei, Shichao

AU - Liu, Zhen

AU - Huang, Yiyi

N1 - KAUST Repository Item: Exported on 2022-01-27 Acknowledgements: This work was supported by a NVIDIA GPU Grant.

PY - 2021/12/30

Y1 - 2021/12/30

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/675047

UR - https://dl.acm.org/doi/10.1145/3487664.3487728

UR - http://www.scopus.com/inward/record.url?scp=85122624915&partnerID=8YFLogxK

U2 - 10.1145/3487664.3487728

DO - 10.1145/3487664.3487728

M3 - Conference contribution

SN - 9781450395564

SP - 462

EP - 466

BT - The 23rd International Conference on Information Integration and Web Intelligence

PB - ACM

ER -

A Generic Knowledge Based Medical Diagnosis Expert System

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