Predicting knowledge of cervical cancer screening among reproductive-age women in sub-saharan africa using machine learning algorithms

Nebebe Demis Baykemagn; Gebrie Getu Alemu; Makda Fekadie Tewelgne; Alemu Teshale Bicha; Tirualem Zeleke Yehuala; Mekuriaw Nibret Aweke; Habtamu Wagnew Abuhay; Miteku Andualem Limenih

doi:10.1038/s41598-026-54976-1

Predicting knowledge of cervical cancer screening among reproductive-age women in sub-saharan africa using machine learning algorithms

N Nebebe Demis Baykemagn G Gebrie Getu Alemu M Makda Fekadie Tewelgne A Alemu Teshale Bicha T Tirualem Zeleke Yehuala M Mekuriaw Nibret Aweke H Habtamu Wagnew Abuhay M Miteku Andualem Limenih

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 1, Issue 1

Published June 02, 2026

DOI 10.1038/s41598-026-54976-1

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

N

Nebebe Demis Baykemagn

G

Gebrie Getu Alemu

M

Makda Fekadie Tewelgne

A

Alemu Teshale Bicha

T

Tirualem Zeleke Yehuala

M

Mekuriaw Nibret Aweke

H

Habtamu Wagnew Abuhay

M

Miteku Andualem Limenih

Predicting knowledge of cervical cancer screening among reproductive-age women in sub-saharan africa using machine learning algorithms

Article Details

Journal Info

Authors (8)

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