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Article

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.

PloS one - 1 Jan 2018

Gehrmann Sebastian, Dernoncourt Franck, Li Yeran, Carlson Eric T, Wu Joy T, Welt Jonathan, Foote John, Moseley Edward T, Grant David W, Tyler Patrick D, Celi Leo A

Abstract excerpt

In secondary analysis of electronic health records, a crucial task consists in correctly identifying the patient cohort under investigation. In many cases, the most valuable and relevant information for an accurate classification of medical conditions exist only in clinical narratives. Therefore, it is necessary to use natural language processing (NLP) techniques to extract and evaluate these narratives. The most...

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PMID: 29447188
DOI: 10.1371/journal.pone.0192360
PMCID: PMC5813927

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