Predicting health facility deliveries using explainable machine learning in Sidama Region, Ethiopia: A prospective cohort study.
- DOI
- 10.1177/17455057261442711
- Published
- 2026 Jan-Dec
- Container
- Women's health (London, England)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/17455057261442711,
title = {Predicting health facility deliveries using explainable machine learning in Sidama Region, Ethiopia: A prospective cohort study.},
author = {Belayneh M and Berego YS and Guillen-Grima F and Yoseph A},
year = {2026},
journal = {Women's health (London, England)},
doi = {10.1177/17455057261442711},
url = {https://doi.org/10.1177/17455057261442711}
}RIS
TY - JOUR TI - Predicting health facility deliveries using explainable machine learning in Sidama Region, Ethiopia: A prospective cohort study. AU - Belayneh M AU - Berego YS AU - Guillen-Grima F AU - Yoseph A PY - 2026 JO - Women's health (London, England) DO - 10.1177/17455057261442711 UR - https://doi.org/10.1177/17455057261442711 ER -
APA
M, B., YS, B., F, G., & A, Y. (2026). Predicting health facility deliveries using explainable machine learning in Sidama Region, Ethiopia: A prospective cohort study.. Women's health (London, England). https://doi.org/10.1177/17455057261442711
Source records
- pubmed · retrieved 2026-09-26T12:27:22.700Z