The application of machine learning approaches to classify and predict fertility rate in Ethiopia
- DOI
- 10.1038/s41598-025-85695-8
- Published
- 2025-01-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-85695-8,
title = {The application of machine learning approaches to classify and predict fertility rate in Ethiopia},
author = {Ewunate Assaye Kassaw and Biruk Beletew Abate and Bekele Mulat Enyew and Ashenafi Kibret Sendekie},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-85695-8},
url = {https://doi.org/10.1038/s41598-025-85695-8}
}RIS
TY - JOUR TI - The application of machine learning approaches to classify and predict fertility rate in Ethiopia AU - Ewunate Assaye Kassaw AU - Biruk Beletew Abate AU - Bekele Mulat Enyew AU - Ashenafi Kibret Sendekie PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-85695-8 UR - https://doi.org/10.1038/s41598-025-85695-8 ER -
APA
Kassaw, E. A., Abate, B. B., Enyew, B. M., & Sendekie, A. K. (2025). The application of machine learning approaches to classify and predict fertility rate in Ethiopia. Scientific Reports. https://doi.org/10.1038/s41598-025-85695-8
Source records
- crossref · retrieved 2026-09-26T03:32:15.862Z