Detecting temporal expressions in medical narratives

Highlights ► TimeML's temporal model can represent temporal expressions in medical records. ► Automated temporal reference extraction and classification is achievable. ► Med-TTK's temporal reference classification in EHRs: 0.86 recall and 0.85 precision.

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Bibliographic Details
Published in:International journal of medical informatics (Shannon, Ireland) Ireland), 2013-02, Vol.82 (2), p.118-127
Main Authors: Reeves, Ruth M, Ong, Ferdo R, Matheny, Michael E, Denny, Joshua C, Aronsky, Dominik, Gobbel, Glenn T, Montella, Diane, Speroff, Theodore, Brown, Steven H
Format: Article
Language:English
Subjects:
Algorithms
Electronic Health Records - statistics & numerical data
Event sequence
Health Records, Personal
Internal Medicine
Narration
Natural Language Processing
Other
Pattern Recognition, Automated - methods
Software
Temporal reasoning
Time Factors
TimeML
United States
Vocabulary, Controlled
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Description
Summary:Highlights ► TimeML's temporal model can represent temporal expressions in medical records. ► Automated temporal reference extraction and classification is achievable. ► Med-TTK's temporal reference classification in EHRs: 0.86 recall and 0.85 precision.
ISSN:1386-5056
1872-8243
DOI:10.1016/j.ijmedinf.2012.04.006