This paper is in the following e-collection/theme issue:

Quality Improvement (224) Natural Language Processing (644)

Published on in Vol 6, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9150, first published .
Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Authors of this article:

Jennifer Hornung Garvin1, 2, 3, 4, 5 Author Orcid Image ;   Youngjun Kim2, 6 Author Orcid Image ;   Glenn Temple Gobbel7, 8 Author Orcid Image ;   Michael E Matheny7, 8 Author Orcid Image ;   Andrew Redd2, 4 Author Orcid Image ;   Bruce E Bray2, 3 Author Orcid Image ;   Paul Heidenreich9 Author Orcid Image ;   Dan Bolton2, 4 Author Orcid Image ;   Julia Heavirland2 Author Orcid Image ;   Natalie Kelly2 Author Orcid Image ;   Ruth Reeves7, 8 Author Orcid Image ;   Megha Kalsy2, 3 Author Orcid Image ;   Mary Kane Goldstein10, 11 Author Orcid Image ;   Stephane M Meystre2, 6 Author Orcid Image
Article Authors Cited by (26) Tweetations (1) Metrics

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