The development of a decision support system for diagnosing nasal allergy
Yonsei Medical Journal
;
: 72-80, 1992.
Artículo
en Inglés
| WPRIM
| ID: wpr-153228
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Rinitis Alérgica Perenne
/
Rinitis Alérgica Estacional
/
Técnicas de Apoyo para la Decisión
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Humanos
Idioma:
Inglés
Revista:
Yonsei Medical Journal
Año:
1992
Tipo del documento:
Artículo
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