Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries.
- DOI
- 10.1186/s12978-025-02170-3
- Published
- 2026 Mar 10
- Container
- Reproductive health
- Publisher
- Not recorded
- Open access
- yes
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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:10.1186/s12978-025-02170-3,
title = {Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries.},
author = {Magassouba AS and Diallo A and Nkurunziza A and Tchole AIM and Touré AA and Magassouba M and Sylla Y and Diallo MAR and Nabé AB},
year = {2026},
journal = {Reproductive health},
doi = {10.1186/s12978-025-02170-3},
url = {https://doi.org/10.1186/s12978-025-02170-3}
}RIS
TY - JOUR TI - Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries. AU - Magassouba AS AU - Diallo A AU - Nkurunziza A AU - Tchole AIM AU - Touré AA AU - Magassouba M AU - Sylla Y AU - Diallo MAR AU - Nabé AB PY - 2026 JO - Reproductive health DO - 10.1186/s12978-025-02170-3 UR - https://doi.org/10.1186/s12978-025-02170-3 ER -
APA
AS, M., A, D., A, N., AIM, T., AA, T., M, M., Y, S., MAR, D., & AB, N. (2026). Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries.. Reproductive health. https://doi.org/10.1186/s12978-025-02170-3
Source records
- pubmed · retrieved 2026-09-26T06:36:24.845Z