# A Generic Knowledge Based Medical Diagnosis Expert System

arXiv: https://arxiv.org/abs/2110.04439 · HTML: https://mlsanity.com/paper/2110.04439/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 42 references that are in the map.
- First posted on arXiv 9 Oct 2021.

## Builds on (most cited first, 9 of 9)

- [FAHT: An Adaptive Fairness-aware Decision Tree Classifier](https://mlsanity.com/paper/1907.07237/) (2019)
- [FARF: A Fair and Adaptive Random Forests Classifier](https://mlsanity.com/paper/2108.07403/) (2021)
- [Disentangled Dynamic Graph Deep Generation](https://mlsanity.com/paper/2010.07276/) (2020)
- [A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification](https://mlsanity.com/paper/1808.08315/) (2018)
- [Using Machine Learning to Automate Mammogram Images Analysis](https://mlsanity.com/paper/2012.03151/) (2020)
- [Online and Customizable Fairness-aware Learning](https://mlsanity.com/paper/2010.08146/) (2020)
- [LSTM Based Sentiment Analysis for Cryptocurrency Prediction](https://mlsanity.com/paper/2103.14804/) (2021)
- [Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory](https://mlsanity.com/paper/2107.01671/) (2021)
- [A Data-driven Human Responsibility Management System](https://mlsanity.com/paper/2012.03190/) (2020)

## Built on by (most cited first, 1 of 1)

- [Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform](https://mlsanity.com/paper/2201.08385/) (2022)

## 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.