A Generic Knowledge Based Medical Diagnosis Expert System
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 42 references that are in the map. First posted on arXiv 9 Oct 2021.
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9 of 42 references.
References · 9
- 2019FAHT: An Adaptive Fairness-aware Decision Tree Classifiercited by 63
- 2021FARF: A Fair and Adaptive Random Forests Classifiercited by 37
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- 2020Using Machine Learning to Automate Mammogram Images Analysiscited by 15
- 2020Online and Customizable Fairness-aware Learningcited by 14
- 2021LSTM Based Sentiment Analysis for Cryptocurrency Predictioncited by 14
- 2021Cognitive Visual Commonsense Reasoning Using Dynamic Working Memorycited by 14
- 2020A Data-driven Human Responsibility Management Systemcited by 8
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Citing papers per year: 2022: 1.
1 paper.