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

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

Abstract Introduction Cervical cancer, which includes squamous cell carcinoma and adenocarcinoma, is a leading cause of cancer-related deaths globally, particularly in low- and middle-income countries (LMICs). It is preventable through early screening, but incidence and mortality rates are significa...

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Main Authors: Fetlework Gubena Arage, Zinabu Bekele Tadese, Eliyas Addisu Taye, Tigist Kifle Tsegaw, Tsegasilassie Gebremariam Abate, Eyob Akalewold Alemu
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Cervical cancer
Sub-Sharan
Screening
Ensemble method
Feature importance
Online Access:https://doi.org/10.1186/s12911-025-03039-y
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https://doi.org/10.1186/s12911-025-03039-y

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