A Generic Knowledge Based Medical Diagnosis Expert System

Author:

Huang Xin1,Tang Xuejiao2,Zhang Wenbin3,Zhang Ji4,Zhang Mingli5,Gan Wensheng6,Pei Shichao7,Liu Zhen8,Huang Yiyi9

Affiliation:

1. University of Maryland at Baltimore County, United States

2. Leibniz University Hannover, Germany

3. Carnegie Mellon University, United States

4. University of Southern Queensland, Australia

5. Mcgill University, Canada

6. Jinan University, China

7. King Abdullah University of Science and Technology, Saudi Arabia

8. Guangdong University of Foreign Studies, China

9. University of Arizona, USA

Publisher

ACM

Reference9 articles.

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2. G. Luger. 2009. AI Algorithms Data structures and Idoms in prolog and java. Pearson. G. Luger. 2009. AI Algorithms Data structures and Idoms in prolog and java. Pearson.

3. D. Merritt. 2000. Building Expert Systems in Prolog. Amzi inc. D. Merritt. 2000. Building Expert Systems in Prolog. Amzi inc.

4. L. Muhammad and A. Ebrahem. 2021. Fuzzy based expert system for diagnosis of coronary artery disease in nigeria. In Health and technology Vol. 1. L. Muhammad and A. Ebrahem. 2021. Fuzzy based expert system for diagnosis of coronary artery disease in nigeria. In Health and technology Vol. 1.

5. J.G. Richens C.M. Lee and S. Johri. 2020. Improving the accuracy of medical diagnosis with causal machine learning. In Nature Communication Vol. 11. J.G. Richens C.M. Lee and S. Johri. 2020. Improving the accuracy of medical diagnosis with causal machine learning. In Nature Communication Vol. 11.

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