Identifying Predictors of Cervical Cancer Screening Uptake in Sub-Saharan Africa Using Machine Learning: Cross-Sectional Study

Abstract BackgroundCervical cancer has been ranked as the fourth most common cancer affecting women, contributing to approximately 660,000 new diagnoses and 350,000 fatalities worldwide. Effective early screening has been shown to reduce cervical cancer incidence by up to 80%...

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Hlavní autoři:	Nebebe Demis Baykemagn, Mekuriaw Nibret Aweke, Amare Mesfin, Lemlem Daniel Baffa, Muluken Chanie Agimas, Habtamu Wagnew Abuhay, Dagnew Getnet Adugna, Tewodros Getaneh Alemu, Alemu Teshale Bicha, Gebrie Getu Alemu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	JMIR Publications 2025-09-01
Edice:	JMIR Public Health and Surveillance
On-line přístup:	https://publichealth.jmir.org/2025/1/e71677
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