Design a Fuzzy Expert System for Pediatrics Diseases Diagnosis | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 12, Volume 5, Issue 2, December 2008, Pages 155-172 PDF (484.65 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2008.163979 | ||
| Author | ||
| Nada N. Saleem | ||
| College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| 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 was applied in medical diagnosis was used within the medical knowledge base system to deal with diagnostic activity, treatment recommendation and patient's administration. In this research, a medical fuzzy expert system named (PedFES) has been developed for diagnosis and decision making of general pediatrics diseases. The (PedFES) is a rule based fuzzy expert system, the results of laboratory analysis are inserted into the system. This system can define the probable diagnosis depending on these data, and later on it can pick out the most probable one for disease. | ||
| Keywords | ||
| Fuzzy Logic; fuzzy expert system; Pediatrics diseases | ||
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