Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71677, first published .
Identifying Predictors of Cervical Cancer Screening Uptake in Sub-Saharan Africa Using Machine Learning: Cross-Sectional Study

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

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

Nebebe Demis Baykemagn   1 , MPH ;   Mekuriaw Nibret Aweke   2 , MPH ;   Amare Mesfin   2 , MPH ;   Lemlem Daniel Baffa   2 , MPH ;   Muluken Chanie Agimas   3 , MPH ;   Habtamu Wagnew Abuhay   3 , MPH ;   Dagnew Getnet Adugna   4 , MSc ;   Tewodros Getaneh Alemu   5 , MSc ;   Alemu Teshale Bicha   6 , MD, MPH ;   Gebrie Getu Alemu   3 , MPH

1 Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

2 Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

3 Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

4 Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia

5 Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

6 Department of Obstetrics and Gynecology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

Corresponding Author:

  • Nebebe Demis Baykemagn, MPH
  • Department of Health Informatics, Institute of Public Health
  • College of Medicine and Health Sciences, University of Gondar
  • Gondar 196
  • Ethiopia
  • Phone: 251 918310345
  • Email: nebebe2@gmail.com