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

Reviews in Medical Informatics (90) Electronic Health Records (1027) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (108) Geographic Information Systems (GIS) (21) Social Determinants of Health (27) New Methods (929) Digital Biomarkers and Digital Phenotyping (182) Methodological Innovations (23) Methods and Instruments in Medical Informatics (113)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56343, first published .
Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review

Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review

Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review

Authors of this article:

Abolfazl Mollalo1 Author Orcid Image ;   Bashir Hamidi1 Author Orcid Image ;   Leslie A Lenert1 Author Orcid Image ;   Alexander V Alekseyenko1 Author Orcid Image
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Abolfazl Mollalo   1 , PhD ;   Bashir Hamidi   1 , MPH ;   Leslie A Lenert   1 , MD ;   Alexander V Alekseyenko   1 , PhD

1 Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States

Corresponding Author:

  • Abolfazl Mollalo, PhD
  • Biomedical Informatics Center
  • Department of Public Health Sciences
  • Medical University of South Carolina
  • 22 Westedge Street
  • Suite 200
  • Charleston, SC, 29403
  • United States
  • Phone: 1 8437922970
  • Email: mollalo@musc.edu