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
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%.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Endoscopy, Gastrointestinal
/
Medical Records Systems, Computerized
/
Vocabulary, Controlled
/
Forms and Records Control
/
Methods
/
Terminology as Topic
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2008
Type:
Article
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