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Predicting newborn birth outcomes with prenatal maternal health features and correlates in the United States: a machine learning approach using archival data

Crossref DOI link: https://doi.org/10.1186/s12884-024-06812-5

Published Online: 2024-09-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Henry, Robert D.
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Text and Data Mining valid from 2024-09-17

Version of Record valid from 2024-09-17
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Article History

Received: 1 July 2024

Accepted: 9 September 2024

First Online: 17 September 2024

Declarations

:

: Upon enrolling in the larger study, participants consented to their medical record and screening data being used for other research projects. The University of Utah Institutional Review Board approved all study procedures.

: Not applicable. Data are summarized only in aggregate.

: The authors declare no competing interests.

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