Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.

Gebrehana AK, Demoze L, Yitageasu G, Kase BF, Tigabie M, Asnake AA

Open source

DOI
10.1038/s41598-026-40723-z
Published
2026 Feb 19
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-40723-z,
  title = {Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.},
  author = {Gebrehana AK and Demoze L and Yitageasu G and Kase BF and Tigabie M and Asnake AA},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-40723-z},
  url = {https://doi.org/10.1038/s41598-026-40723-z}
}

RIS

TY  - JOUR
TI  - Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.
AU  - Gebrehana AK
AU  - Demoze L
AU  - Yitageasu G
AU  - Kase BF
AU  - Tigabie M
AU  - Asnake AA
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-40723-z
UR  - https://doi.org/10.1038/s41598-026-40723-z
ER  - 

APA

AK, G., L, D., G, Y., BF, K., M, T., & AA, A. (2026). Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.. Scientific reports. https://doi.org/10.1038/s41598-026-40723-z

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