Structuralization of digestive endoscopy report based on NLP / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
; (6): 348-351, 2008.
Article
em Zh
| WPRIM
| ID: wpr-309579
Biblioteca responsável:
WPRO
ABSTRACT
This paper presents a method based on NLP to realize structuralization of digestive endoscopy reports. The method is taking advantage of existing NLP's processing technologies and introducing minimal standard terminology (MST) to transform a narrative gastroscopy report into the structuralization report based on MST, whose accuracy rate is 92.3%.
Texto completo:
1
Índice:
WPRIM
Assunto principal:
Endoscopia Gastrointestinal
/
Sistemas Computadorizados de Registros Médicos
/
Vocabulário Controlado
/
Controle de Formulários e Registros
/
Métodos
/
Terminologia como Assunto
Idioma:
Zh
Revista:
Chinese Journal of Medical Instrumentation
Ano de publicação:
2008
Tipo de documento:
Article