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