A controlled trial of automated classification of negation from clinical notes
<p>Abstract</p> <p>Background</p> <p>Identification of negation in electronic health records is essential if we are to understand the computable meaning of the records: Our objective is to compare the accuracy of an automated mechanism for assignment of Negation to clin...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2005-05-01
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Series: | BMC Medical Informatics and Decision Making |
Online Access: | http://www.biomedcentral.com/1472-6947/5/13 |