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AMIA Annu Symp Proc. 2010 Nov 13;2010:817-21.

Corpus-Based Problem Selection for EHR Note Summarization.

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1
Department of Biomedical Informatics, Columbia University, New York, NY.

Abstract

Physicians have access to patient notes in volumes far greater than what is practical to read within the context of a standard clinical scenario. As a preliminary step toward being able to provide a longitudinal summary of patient history, methods are examined for the automated extraction of relevant patient problems from existing clinical notes. We explore a grounded approach to identifying important patient problems from patient history. Methods build on existing NLP and text-summarization methodologies and leverage features observed in a relevant corpus.

PMID:
21347092
PMCID:
PMC3041431
[Indexed for MEDLINE]
Free PMC Article
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