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Hierarchical machine learning models for predicting antenatal care utilisation among Nigerian women: Identifying actionable insights for health policy

Crossref DOI link: https://doi.org/10.1186/s13040-026-00538-0

Published Online: 2026-03-04

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

Authors

Osborne, Augustus https://orcid.org/0000-0002-0226-841X
Olawade, David B.

Oton, Ekomobong Aniefiok

Odey, Liwi Martin

Usani, Kobloobase
License Information

Text and Data Mining valid from 2026-03-04

Version of Record valid from 2026-04-10
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Article History

Received: 15 January 2026

Accepted: 26 February 2026

First Online: 4 March 2026

Declarations

:

: Ethical clearance was not sought for the study since the secondary dataset is freely available in the public domain.

: Not applicable.

: The authors declare no competing interests.

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