1.
Chinese Journal of Medical Instrumentation
;
(6): 348-351, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-309579
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%.