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

Natural Language Processing (636)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13331, first published .
Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Authors of this article:

Jiang Han1, 2 Author Orcid Image ;   Ken Chen3 Author Orcid Image ;   Lei Fang3 Author Orcid Image ;   Shaodian Zhang3, 4 Author Orcid Image ;   Fei Wang3, 5 Author Orcid Image ;   Handong Ma3, 6 Author Orcid Image ;   Liebin Zhao2, 7 Author Orcid Image ;   Shijian Liu1, 2 Author Orcid Image
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