Journal
PLoS One
Publication Date
2018
Volume
13
Issue
2
Inclusive Pages
e0192360
Document Type
Open Access Publication
DOI
10.1371/journal.pone.0192360
Rights and Permissions
Gehrmann S, Dernoncourt F, Li Y, Carlson ET, Wu JT, et al. (2018) Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives. PLOS ONE 13(2): e0192360. https://doi.org/10.1371/journal.pone.0192360
Recommended Citation
Gehrmann, Sebastian; Dernoncourt, Franck; Li, Yeran; Carlson, Eric T.; Wu, Joy T.; Welt, Jonathan; Foote, John Jr.; Moseley, Edward T.; Grant, David W.; Tyler, Patrick D.; and Celi, Leo A., "Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives." PLoS One. 13, 2. e0192360. (2018).
https://digitalcommons.wustl.edu/open_access_pubs/6819
Table S1.pdf (38 kB)
Table S1
Table S2.pdf (38 kB)
Table S2
Table S3.pdf (39 kB)
Table S3
Text S1.pdf (59 kB)
Text S1
Table S1
Table S2.pdf (38 kB)
Table S2
Table S3.pdf (39 kB)
Table S3
Text S1.pdf (59 kB)
Text S1
