Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

Available at: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-025-22007-9

2. Random forest algorithm for predicting tobacco use and identifying determinants among pregnant women in 26 sub-Saharan African countries: a 2024 analysis.

Available at: https://doi.org/10.1186/s12889-025-22794-1

3. Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and Health Survey.

Available at: https://doi.org/10.3389/fpubh.2025.1555697

4. Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine learning algorithm.

Available at: https://doi.org/10.1186/s12889-025-21334-1

5. Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries.

Available at : https://rdcu.be/eoEkD

6. Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

Available at : https://doi.org/10.1186/s12911-025-03039-y

7. Treatment satisfaction and associated factors among patients with rheumatoid arthritis in North West Ethiopia.

Available at : https://doi.org/10.1038/s41598-025-02199-1

8. Forecasting tuberculosis in Ethiopia using deep learning: progress toward sustainable development goal evidence from global burden of disease 1990–2021.

Available at: https://rdcu.be/euq03

9. Predicting delayed antenatal care initiation among pregnant women in East Africa: using machine learning algorithms.

Available at: https://doi.org/10.3389/fgwh.2025.1488391

10. Geographically weighted regression analysis of incomplete basic childhood vaccination in Sub-Saharan Africa: Evidence from DHS, 2019–2024

Available at: https://doi.org/10.1371/journal.pone.0336498