Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach
- DOI
- 10.1186/s12884-026-09725-7
- Published
- 2026-08-10
- Container
- BMC Pregnancy and Childbirth
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12884-026-09725-7,
title = {Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach},
author = {Halid Worku Jemil and Sonia Worku Semayneh and Altaseb Beyene Kassaw and Anmut Endalkachew Bezie},
year = {2026},
journal = {BMC Pregnancy and Childbirth},
doi = {10.1186/s12884-026-09725-7},
url = {https://doi.org/10.1186/s12884-026-09725-7}
}RIS
TY - JOUR TI - Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach AU - Halid Worku Jemil AU - Sonia Worku Semayneh AU - Altaseb Beyene Kassaw AU - Anmut Endalkachew Bezie PY - 2026 JO - BMC Pregnancy and Childbirth DO - 10.1186/s12884-026-09725-7 UR - https://doi.org/10.1186/s12884-026-09725-7 ER -
APA
Jemil, H. W., Semayneh, S. W., Kassaw, A. B., & Bezie, A. E. (2026). Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach. BMC Pregnancy and Childbirth. https://doi.org/10.1186/s12884-026-09725-7
Source records
- crossref · retrieved 2026-11-07T03:57:47.702Z