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

Natural Language Processing (706) Electronic Health Records (1068)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12575, first published .
Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

Authors of this article:

Jeremy Petch1, 2 Author Orcid Image ;   Jane Batt3, 4, 5 Author Orcid Image ;   Joshua Murray6, 7 Author Orcid Image ;   Muhammad Mamdani1, 6, 8, 9 Author Orcid Image
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