Method of detection of negative terminology in Chinese electronic medical record / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 82-85, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-266722
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Semantics
/
China
/
Probability
/
Electronic Health Records
/
Terminology as Topic
Type of study:
Diagnostic study
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2015
Type:
Article
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