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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

Crossref DOI link: https://doi.org/10.1186/s12978-025-02170-3

Published Online: 2026-03-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Magassouba, Aboubacar Sidiki

Diallo, Abdourahmane

Nkurunziza, Armel

Tchole, Ali Issakou Malam

Touré, Almamy Amara

Magassouba, Mamoudou

Sylla, Younoussa

Diallo, Mamadou Abdoulaye R.

Nabé, Aly Badara
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Text and Data Mining valid from 2026-03-10

Version of Record valid from 2026-04-17
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Article History

Received: 7 September 2023

Accepted: 18 September 2025

First Online: 10 March 2026

Declarations

:

: This study is an analysis of secondary data from the DHS, which has been authorized in all countries where the survey was conducted. We have approval to use the data from the DHS program (annex 1).

: Participants provided consent for the publication of anonymized data and quotes.

: The authors declare no competing interests.

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