This paper is in the following e-collection/theme issue:

Breast Cancer (303) Public (e)Health, Digital Epidemiology and Public Health Informatics (1055) Doctor-Patient Communication on Cancer, Prevention, and Screening (82) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (144) Patient Education for Cancer (241)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59882, first published .
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Authors of this article:

Soheil Hashtarkhani1 Author Orcid Image ;   Yiwang Zhou2 Author Orcid Image ;   Fekede Asefa Kumsa1 Author Orcid Image ;   Shelley White-Means3 Author Orcid Image ;   David L Schwartz4 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Cárdenas S, Callaghan B. A Call to Integrate Measures of Environmental Context into Research on Maternal Brain Health. International Journal of Environmental Research and Public Health 2025;22(6):818 View
  2. Ma G, Scully M, Luo J, Feng J, Gunn C, diFlorio-Alexander R, Tosteson A, Kraft S, Marrero W. Modeling the impact of social determinants on breast cancer screening: a data-driven approach. Frontiers in Medicine 2025;12 View
  3. 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