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

Breast Cancer (242) Public (e)Health, Digital Epidemiology and Public Health Informatics (850) Doctor-Patient Communication on Cancer, Prevention, and Screening (54) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (120) Patient Education for Cancer (187)

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 Tweetations (1) Metrics

Soheil Hashtarkhani   1 , PhD ;   Yiwang Zhou   2 , PhD ;   Fekede Asefa Kumsa   1 , PhD ;   Shelley White-Means   3 , PhD ;   David L Schwartz   4 , MD ;   Arash Shaban-Nejad   1 , MPH, PhD

1 Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

2 Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States

3 College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, United States

4 Department of Radiation Oncology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

Corresponding Author:

  • Arash Shaban-Nejad, MPH, PhD
  • Center for Biomedical Informatics
  • Department of Pediatrics
  • College of Medicine, University of Tennessee Health Science Center
  • 50 N. Dunlap St
  • Memphis, TN, 38103
  • United States
  • Phone: 1 9012875836
  • Email: ashabann@uthsc.edu