Automated ancillary cancer history classification for mesothelioma patients from free-text clinical reports

Automated ancillary cancer history classification for mesothelioma patients from free-text clinical reports

Background: Clinical records are often unstructured, free-text documents that create information extraction challenges and costs. Healthcare delivery and research organizations, such as the National Mesothelioma Virtual Bank, require the aggregation of both structured and unstructured data types. Na...

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Bibliographic Details
Main Authors: Richard A Wilson, Wendy W Chapman, Shawn J DeFries, Michael J Becich, Brian E Chapman
Format: Article
Language:English
Published: Elsevier 2010-01-01
Series:Journal of Pathology Informatics
Subjects:
Information extraction
natural language processing
cancer history classifcation
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2010;volume=1;issue=1;spage=24;epage=24;aulast=Wilson

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2010;volume=1;issue=1;spage=24;epage=24;aulast=Wilson

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