Correction: Predicting home delivery and identifying its determinants among women aged 15–49 years in Sub‑Saharan African countries using a demographic and health surveys 2016–2023: a machine learning algorithm

Correction: Predicting home delivery and identifying its determinants among women aged 15-49 years in Sub‑Saharan African countries using a demographic and health surveys 2016-2023: a machine learning algorithm

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Publication Details

Journal
BMC Public Health
Published
2026-04-13
DOI
https://doi.org/10.1186/s12889-026-26985-2
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Correction: Predicting home delivery and identifying its determinants among women aged 15–49 years in Sub‑Saharan African countries using a demographic and health surveys 2016–2023: a machine learning algorithm

Abriham Zegeye, Nebebe Demis Baykemagn, Tirualem Zeleke Yehuala, Birhan Wassie et al.
BMC Public Health
Global Maternal and Child Health
article

Correction: Predicting home delivery and identifying its determinants among women aged 15–49 years in Sub‑Saharan African countries using a demographic and health surveys 2016–2023: a machine learning algorithm

Abriham Zegeye, Nebebe Demis Baykemagn, Tirualem Zeleke Yehuala, Birhan Wassie, Eliyas Addisu, Berihun Alelign, Mequannet Sharew, Makda Fekadie Tewelgne, Binyam Chaklu Tilahun, Abdulaziz Kebede
article en

Abstract

Correction: Predicting home delivery and identifying its determinants among women aged 15-49 years in Sub‑Saharan African countries using a demographic and health surveys 2016-2023: a machine learning algorithm

BMC Public HealthVol. 26(1)
Wollo University (ET), University of Gondar (ET)
Gender equality
Openalex Percentile: Top 24%
Global Maternal and Child Health
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