The development of a decision support system for diagnosing nasal allergy.
- Author:
Young Moon CHAE
1
;
Tae Young JANG
;
In Yong PARK
;
Seung Kyu CHUNG
;
Mignon PARK
Author Information
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords: Expert system; artificial intelligent; neural network; nasal allergy; MDSS
- MeSH: *Decision Support Techniques; Hay Fever/*diagnosis; Human; Rhinitis, Allergic, Perennial/*diagnosis; Support, Non-U.S. Gov't
- From:Yonsei Medical Journal 1992;33(1):72-80
- CountryRepublic of Korea
- Language:English
- Abstract: This paper deals with the problem of improving the capability of the medical decision support system (MDSS) for diagnosing nasal allergy by integrating the previously developed expert system with the neural network approach. Three knowledge acquisition methods were used to develop the expert system: statistical, rule-based, and the combined approach. Among the three, a combined approach showed the best prediction rate based on discriminant analysis. Using the results of a combined approach as input values, the neural network was developed using back-propagation method. Unlike the expert system, the neural network system provides the resulting allergy status in probabilistic terms. Managerial as well as legal issues were also discussed in this paper.
