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Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71677, first published .
Doctor holding uterus model with fibroids, illustrating gynecological health

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

Journals

  1. Nwokedi V, Nwajiugo G, Okechukwu O, Biose R, Motilewa O, Anosike W, Adetona O. Prevalence and Predictors of Cervical Cancer Screening Uptake in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. Oncology, Nuclear Medicine and Transplantology 2025;1(2):onmt009 View
  2. Tanveer A, Ali R, Majhi J, Mukherjee M. Predicting and identifying correlates of inequalities in breast cancer screening uptake using national level data from India. Frontiers in Artificial Intelligence 2026;8 View
  3. Bado A, Bassinga H, Nabié D. Socioeconomic and contextual determinants of cervical cancer screening uptake in West Africa: a multilevel analysis of recent DHS data from five countries. Journal of Global Health Science 2026;8(1) View
  4. Dowou R, Salu S, Takyiwaa J, Aboagye R, Akombi‐Inyang B. Residency‐Based Inequalities in Cervical Cancer Screening in Sub‐Saharan Africa. Tropical Medicine & International Health 2026 View

Books/Policy Documents

  1. Njue J, Muturi M, Lwembe L. Advances in Cervical Cancer - Diagnostic and Therapeutic Considerations [Working Title]. View