The development of a decision support system for diagnosing nasal allergy
Yonsei Medical Journal
;
: 72-80, 1992.
Artigo
em Inglês
| 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:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Rinite Alérgica Perene
/
Rinite Alérgica Sazonal
/
Técnicas de Apoio para a Decisão
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Yonsei Medical Journal
Ano de publicação:
1992
Tipo de documento:
Artigo
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