Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis | ||
AL-Rafidain Journal of Computer Sciences and Mathematics | ||
Article 11, Volume 7, Issue 2, August 2010, Pages 129-141 PDF (1.03 M) | ||
Document Type: Research Paper | ||
DOI: 10.33899/csmj.2010.163891 | ||
Author | ||
Baydaa S Bhnam | ||
College of Computer Sciences and Mathematics University of Mosul | ||
Abstract | ||
Fuzzy logic is a branch of artificial intelligence techniques, it deals with uncertainty in knowledge that simulates human reasoning in incomplete or fuzzy data. Fuzzy relational inference that has applied in medical diagnosis was used within the medical knowledge base system to deals with diagnostic activity, treatment recommendation and patient's administration. In this research, a medical fuzzy expert system named (Liv&PanFES) has been developed for diagnosis and decision making of general Liver and Pancreas diseases. The (Liv&PanFES) is a rule based fuzzy expert system, results of laboratory analysis are inserted into the system. This system can define the probable diagnosis on these data, and later on it can pick out the most probable one for disease. | ||
Keywords | ||
Artificial intelligence; Fuzzy Logic; fuzzy expert system | ||
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