Abstract
A comprehensive controlled clinical vocabulary is critical to the effectiveness of many automated clinical systems. Vocabulary development and maintenance is an important aspect of a vocabulary, and should be linked to terms physicians actually use. This paper presents a method to help vocabulary builders capture, visualize, and analyze both compositional and quantitative information related to terms physicians use. The method includes several components: an MLP system, a corpus of relevant reports and a visualization tool based on XML and JAVA.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 502-506 |
| Number of pages | 5 |
| Journal | Proceedings / AMIA ... Annual Symposium. AMIA Symposium |
| State | Published - 2000 |
| Externally published | Yes |
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A method for vocabulary development and visualization based on medical language processing and XML. / Liu, Hongfang D; Friedman, C.
In: Proceedings / AMIA ... Annual Symposium. AMIA Symposium, 2000, p. 502-506.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A method for vocabulary development and visualization based on medical language processing and XML.
AU - Liu, Hongfang D
AU - Friedman, C.
PY - 2000
Y1 - 2000
N2 - A comprehensive controlled clinical vocabulary is critical to the effectiveness of many automated clinical systems. Vocabulary development and maintenance is an important aspect of a vocabulary, and should be linked to terms physicians actually use. This paper presents a method to help vocabulary builders capture, visualize, and analyze both compositional and quantitative information related to terms physicians use. The method includes several components: an MLP system, a corpus of relevant reports and a visualization tool based on XML and JAVA.
AB - A comprehensive controlled clinical vocabulary is critical to the effectiveness of many automated clinical systems. Vocabulary development and maintenance is an important aspect of a vocabulary, and should be linked to terms physicians actually use. This paper presents a method to help vocabulary builders capture, visualize, and analyze both compositional and quantitative information related to terms physicians use. The method includes several components: an MLP system, a corpus of relevant reports and a visualization tool based on XML and JAVA.
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UR - http://www.scopus.com/inward/citedby.url?scp=0034577274&partnerID=8YFLogxK
M3 - Article
C2 - 11079934
AN - SCOPUS:0034577274
SP - 502
EP - 506
JO - Proceedings / AMIA . Annual Symposium. AMIA Symposium
JF - Proceedings / AMIA . Annual Symposium. AMIA Symposium
SN - 1531-605X
ER -