Improving the fuzzy expert system for diagnosing depressive disorders

This paper presents an improving knowledge base and inference engine of a medical expert system for diagnosing depressive disorders. calls PORUL.DEP. PORUL.DEP’s includes more than 850 positive rules. PORUL.DEP has been tested on 260 records depressed patients. gives correct diagnosis 95% with light disorder without disorder, but the remaining disorders are not accurate. Average percent 24 %. A new system, called STRESSDIAG, was developed combining rules (for confirmation conclusion) negative exclusion STRESSDIAG’s consists 120 Abelian group operation Mycin is used to improve based fuzzy relations. STRESSDIAG 76% 4 types 82 %, up nearly 60% compared