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

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

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. In secondary analysis of electronic health records, a crucial ta...

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Bibliographic Details
Main Authors: Gehrmann, Sebastian, Li, Yeran, Carlson, Eric T., Wu, Joy T., Welt, Jonathan, Foote, John, Moseley, Edward T., Grant, David W., Tyler, Patrick D., Dernoncourt, Franck, Celi, Leo Anthony G.
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Published: Public Library of Science 2018
Online Access:http://hdl.handle.net/1721.1/114939
https://orcid.org/0000-0002-1119-1346

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http://hdl.handle.net/1721.1/114939
https://orcid.org/0000-0002-1119-1346

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