Structuralization of digestive endoscopy report based on NLP.
- Author:
Xiao-feng KONG
1
;
Ying LI
;
Hao-min LI
;
Xu-dong LU
Author Information
1. Health Surveillance Office of Health Bureau, Center District, Jining, Shandong Province.
- Publication Type:Journal Article
- MeSH:
Endoscopy, Gastrointestinal;
methods;
Forms and Records Control;
Medical Records Systems, Computerized;
Terminology as Topic;
Vocabulary, Controlled
- From:
Chinese Journal of Medical Instrumentation
2008;32(5):348-351
- CountryChina
- Language:Chinese
-
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%.
