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

Systemic Racism and Racial Bias in Health Care and Society (85) Machine Learning (49) Artificial Intelligence (1371) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (36) Demographics of Users, Social & Digital Divide (739) Diagnostic Tools in Mental Health (242) Equity and Digital Divide (218) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (111) Public (e)Health, Digital Epidemiology and Public Health Informatics (725)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52691, first published .
Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

Authors of this article:

Fahimeh Mohebbi1 Author Orcid Image ;   Amir Masoud Forati2 Author Orcid Image ;   Lucas Torres3 Author Orcid Image ;   Terri A deRoon-Cassini4 Author Orcid Image ;   Jennifer Harris5 Author Orcid Image ;   Carissa W Tomas6 Author Orcid Image ;   John R Mantsch7 Author Orcid Image ;   Rina Ghose1 Author Orcid Image
Article Authors Cited by (1) Tweetations (9) Metrics

Journals

  1. Banks D, Paschke M, Ghonasgi R, Thompson V. Benefits and challenges of geographic information systems (GIS) for data-driven outreach in black communities experiencing overdose disparities: results of a stakeholder focus group. BMC Public Health 2024;24(1) View