DocumentCode :
2399222
Title :
The Frequency of ConText Lexical Items in Diverse Medical Texts
Author :
Chapman, Brian E. ; Wei, Wei ; Chapman, Wendy W.
Author_Institution :
Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2012
fDate :
27-28 Sept. 2012
Firstpage :
135
Lastpage :
135
Abstract :
We assess the relative frequency that lexical items defined in the pyConTextNLP package occur within radiology, history and physical, and emergency department texts. While we found significant disparity in term frequency between the text types nearly half of the lexical items were not found in any of the texts indicating that significant pruning of the lexical knowledge base could be attempted. However, the study is limited by the small number of texts studied.
Keywords :
medical information systems; software packages; text analysis; ConText lexical item frequency; diverse medical texts; emergency department text; history text; lexical knowledge base; natural language processing; physical text; pyConTextNLP package; radiology text; Conferences; Context; History; Knowledge based systems; Medical services; Radiology; Uncertainty; ConText; Python; natural language process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4803-4
Type :
conf
DOI :
10.1109/HISB.2012.60
Filename :
6366227
Link To Document :
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