A Comparative Study on the Effects of the Nursing Diagnosis Systems Using Neural Network and Expert System.
- Author:
Jung Ae KIM
1
Author Information
1. Department of Nursing In Kyung Sung College, Korea.
- Publication Type:Comparative Study ; Original Article
- Keywords:
Nursing Diagnosis System;
Neural Network;
Expert System
- MeSH:
Diagnostic Errors;
Expert Systems*;
Judgment;
Korea;
Nursing Care;
Nursing Diagnosis*;
Nursing*
- From:Journal of Korean Society of Medical Informatics
1998;4(1):75-81
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
With growing need in the field, the application of computers in nursing has been frequently studied to improve the quality of nursing care in Korea. But the development of useful clinical programs has not received adequate alternatives. The aim of this study is to compare of two Nursing Diagnosis Systems - Neutral Network and Expert System. The simulated output of each Nursing Diagnosis System and the Judgment from the researcher and two professors of nursing were comparatively examined. The misdiagnosis rate of Nursing Diagnosis System using the Neural Network was nine percent, while the Nursing Diagnosis System using the Expert System showed consistency with those three experts in every aspect. Accordingly, the result of this study demonstrated the possibility of application of a nursing diagnosis system as another nursing tool.
