Application of text information extraction system for real-time cancer case identification in an integrated healthcare organization

Application of text information extraction system for real-time cancer case identification in an integrated healthcare organization

Background: Surgical pathology reports (SPR) contain rich clinical diagnosis information. The text information extraction system (TIES) is an end-to-end application leveraging natural language processing technologies and focused on the processing of pathology and/or radiology reports. Methods: We de...

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Bibliographic Details
Main Authors: Fagen Xie, Janet Lee, Corrine E Munoz-Plaza, Erin E Hahn, Wansu Chen
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of Pathology Informatics
Subjects:
Breast cancer
case identification
natural language processing
pathology reports
text information extraction system
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=48;epage=48;aulast=Xie

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=48;epage=48;aulast=Xie

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