A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys.
- DOI
- 10.1016/j.xagr.2026.100668
- Published
- 2026 Aug
- Container
- AJOG global reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.xagr.2026.100668,
title = {A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys.},
author = {Kebede FB and Mengistu AK},
year = {2026},
journal = {AJOG global reports},
doi = {10.1016/j.xagr.2026.100668},
url = {https://doi.org/10.1016/j.xagr.2026.100668}
}RIS
TY - JOUR TI - A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys. AU - Kebede FB AU - Mengistu AK PY - 2026 JO - AJOG global reports DO - 10.1016/j.xagr.2026.100668 UR - https://doi.org/10.1016/j.xagr.2026.100668 ER -
APA
FB, K., & AK, M. (2026). A machine learning analysis of perceived healthcare access barriers among women of reproductive age in Sub-Saharan Africa: using demographic and health surveys.. AJOG global reports. https://doi.org/10.1016/j.xagr.2026.100668
Source records
- pubmed · retrieved 2026-09-25T16:32:06.223Z