Method of detection of negative terminology in Chinese electronic medical record.
- Author:
Yuanpeng ZHANG
;
Jianchen DONG
;
Danmin QIAN
;
Kui JIANG
;
Yalan CHEN
;
Li WANG
- Publication Type:Journal Article
- MeSH:
China;
Electronic Health Records;
Probability;
Semantics;
Terminology as Topic
- From:
Journal of Biomedical Engineering
2015;32(1):82-85
- CountryChina
- Language:Chinese
-
Abstract:
The method for detecting the negative terms in Chinese electronic medical record (EMR) is useful in providing evidence for constructing concept index. In this respect, we adopted an improved method which combined maximum matching with mutual information in order to extract terms in EMRs. This method can overcome the influence of overlay ambiguity. In addition, for the determination of negative semantic, we also adopted an improved method which combined rule-based method with word co-occurrence. This new method can reduce the probability of appearance of false positive terms caused by punctuation input errors. The result showed that the negative predictive value is 7.85% higher than the rule-based method.
