A Design and Implementation of the Intelligent Diagnosis System for Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products


The KIPS Transactions:PartB , Vol. 10, No. 2, pp. 197-204, Apr. 2003
10.3745/KIPSTB.2003.10.2.197,   PDF Download:

Abstract

Because most conventional systems of medical diagnosis focus on small subsets of classes of diseases of particular human organs, it is difficult to diagnosis when dealing with symptoms are related to many diseases. The author proposes an intelligent diagnosis system for diseases associated with acute abdominal pain based on fuzzy relational products (IDS-DAAP) to implement conventional system (DS-DAAP). Compared with DS-DAAP, new approach with IDS-DAAP shows that the system proposed here improves diagnosis rate and reduces diagnosis time.


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Cite this article
[IEEE Style]
W. S. Hyun, "A Design and Implementation of the Intelligent Diagnosis System for Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products," The KIPS Transactions:PartB , vol. 10, no. 2, pp. 197-204, 2003. DOI: 10.3745/KIPSTB.2003.10.2.197.

[ACM Style]
Woo Seok Hyun. 2003. A Design and Implementation of the Intelligent Diagnosis System for Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products. The KIPS Transactions:PartB , 10, 2, (2003), 197-204. DOI: 10.3745/KIPSTB.2003.10.2.197.