Document Detail


Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm.
MedLine Citation:
PMID:  21459155     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper we describe an application called peFinder for document-level classification of CT pulmonary angiography reports. peFinder is based on a generalized version of the ConText algorithm, a simple text processing algorithm for identifying features in clinical report documents. peFinder was used to answer questions about the disease state (pulmonary emboli present or absent), the certainty state of the diagnosis (uncertainty present or absent), the temporal state of an identified pulmonary embolus (acute or chronic), and the technical quality state of the exam (diagnostic or not diagnostic). Gold standard answers for each question were determined from the consensus classifications of three human annotators. peFinder results were compared to naive Bayes' classifiers using unigrams and bigrams. The sensitivities (and positive predictive values) for peFinder were 0.98(0.83), 0.86(0.96), 0.94(0.93), and 0.60(0.90) for disease state, quality state, certainty state, and temporal state respectively, compared to 0.68(0.77), 0.67(0.87), 0.62(0.82), and 0.04(0.25) for the naive Bayes' classifier using unigrams, and 0.75(0.79), 0.52(0.69), 0.59(0.84), and 0.04(0.25) for the naive Bayes' classifier using bigrams.
Authors:
Brian E Chapman; Sean Lee; Hyunseok Peter Kang; Wendy W Chapman
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-04-01
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  44     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-09-19     Completed Date:  2012-04-19     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  728-37     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Division of Biomedical Informatics, Department of Medicine, University of California, San Diego, La Jolla, CA 92093-0728, USA. brchapman@ucsd.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Angiography / classification
Bayes Theorem
Humans
Lung / radiography*
Pulmonary Embolism / radiography
Research Report
Semantics
Grant Support
ID/Acronym/Agency:
R01 HL087119-03/HL/NHLBI NIH HHS; R01HL087119/HL/NHLBI NIH HHS; R01LM009427/LM/NLM NIH HHS; UL1 RR024153/RR/NCRR NIH HHS; UL1 TR000005/TR/NCATS NIH HHS
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