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

Journal: JMIR cancer
PMID: 39819978

Abstract

BACKGROUND: Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates.

Authors

  • Soheil Hashtarkhani
    University of Tennessee Health Science Center - Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, Tennessee, USA.
  • Yiwang Zhou
    Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States.
  • Fekede Asefa Kumsa
    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, 1 9012875836.
  • Shelley White-Means
    College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, United States.
  • David L Schwartz
    Departments of Radiation Oncology & Preventive Medicine University of Tennessee Health Science Center, College of Medicine, Memphis, Tennessee, USA.
  • Arash Shaban-Nejad
    UTHSC-ORNL Center for Biomedical Informatics and Department of Pediatrics, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA.

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