Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning

Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning

Abstract Breast self-examination is a very cost-reducing approach that significantly decreases the cost burdens associated with medical equipment, fees of healthcare practitioners, transportation to health facilities, and other indirect costs. Furthermore, it raises accessibility to health services...

Full description

Saved in:
Bibliographic Details
Main Authors: Nebebe Demis Baykemagn, Meron Asmamaw Alemayehu, Tirualem Zeleke Yehuala, Agmasie Damtew Walle, Andualem Enyew Gedefaw, Abraham Keffale Mengistu
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Breast cancer
Self-examination
Digital health
Machine learning
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-025-03112-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-03112-6

Similar Items