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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Natural Language Processing (636) Electronic Health Records (961) Clinical Information and Decision Making (1314) Clinical Informatics (904) Decision Support for Health Professionals (1127)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37896, first published .
Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation

Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation

Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation

Authors of this article:

Fagen Xie1 Author Orcid Image ;   Nehaa Khadka1 Author Orcid Image ;   Michael J Fassett2, 3 Author Orcid Image ;   Vicki Y Chiu1 Author Orcid Image ;   Chantal C Avila1 Author Orcid Image ;   Jiaxiao Shi1 Author Orcid Image ;   Meiyu Yeh1 Author Orcid Image ;   Aniket Kawatkar1 Author Orcid Image ;   Nana A Mensah1 Author Orcid Image ;   David A Sacks1 Author Orcid Image ;   Darios Getahun1, 4 Author Orcid Image
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