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

Natural Language Processing (662) Electronic Health Records (990)

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
Article Authors Cited by (7) Tweetations (6) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.