Treffer: A method for vocabulary development and visualization based on medical language processing and XML.
Title:
A method for vocabulary development and visualization based on medical language processing and XML.
Authors:
Liu H; Computer Science Division, Graduate School and University Center of CUNY, USA., Friedman C
Source:
Proceedings. AMIA Symposium [Proc AMIA Symp] 2000, pp. 502-6.
Publication Type:
Journal Article; Research Support, U.S. Gov't, P.H.S.
Language:
English
Journal Info:
Publisher: Hanley & Belfus Country of Publication: United States NLM ID: 100883449 Publication Model: Print Cited Medium: Print ISSN: 1531-605X (Print) Linking ISSN: 1531605X NLM ISO Abbreviation: Proc AMIA Symp Subsets: MEDLINE
Imprint Name(s):
Original Publication: Philadelphia : Hanley & Belfus, c1998-
MeSH Terms:
References:
Proc AMIA Symp. 1999;:42-6. (PMID: 10566317)
Proc AMIA Symp. 1999;:256-60. (PMID: 10566360)
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Proc AMIA Annu Fall Symp. 1997;:724-8. (PMID: 9357720)
Infect Control Hosp Epidemiol. 1998 Feb;19(2):94-100. (PMID: 9510106)
Int J Med Inform. 1998 Feb;48(1-3):163-71. (PMID: 9600416)
Methods Inf Med. 1998 Nov;37(4-5):394-403. (PMID: 9865037)
Proc AMIA Annu Fall Symp. 1997;:655-9. (PMID: 9357707)
Proc AMIA Symp. 1999;:256-60. (PMID: 10566360)
Proc AMIA Annu Fall Symp. 1996;:159-63. (PMID: 8947648)
Proc AMIA Annu Fall Symp. 1996;:542-6. (PMID: 8947725)
J Am Med Inform Assoc. 1999 Jan-Feb;6(1):76-87. (PMID: 9925230)
Proc AMIA Annu Fall Symp. 1997;:724-8. (PMID: 9357720)
Infect Control Hosp Epidemiol. 1998 Feb;19(2):94-100. (PMID: 9510106)
Int J Med Inform. 1998 Feb;48(1-3):163-71. (PMID: 9600416)
Methods Inf Med. 1998 Nov;37(4-5):394-403. (PMID: 9865037)
Proc AMIA Annu Fall Symp. 1997;:655-9. (PMID: 9357707)
Grant Information:
LM06274 United States LM NLM NIH HHS
Entry Date(s):
Date Created: 20001118 Date Completed: 20010308 Latest Revision: 20181113
Update Code:
20250114
PubMed Central ID:
PMC2243989
PMID:
11079934
Database:
MEDLINE
Weitere Informationen
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.