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

Machine Learning (1385) Decision Support for Health Professionals (1137) Electronic Health Records (966) Secondary Use of Clinical Data for Research and Surveillance (320)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33835, first published .
The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

Authors of this article:

Yichao Zhang1 Author Orcid Image ;   Sha Lu2, 3 Author Orcid Image ;   Yina Wu1 Author Orcid Image ;   Wensheng Hu2, 3 Author Orcid Image ;   Zhenming Yuan1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Yichao Zhang   1 * , MSc ;   Sha Lu   2, 3 * , MD ;   Yina Wu   1 , MEng ;   Wensheng Hu   2, 3 , MD ;   Zhenming Yuan   1 , PhD

1 Hangzhou Normal University, Hangzhou, China

2 Department of Obstetrics and Gynecology, Hangzhou Women's Hospital, Hangzhou, China

3 Department of Obstetrics and Gynecology, The Affiliated Hangzhou Women’s Hospital of Hangzhou Normal University, Hangzhou, China

*these authors contributed equally

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