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

Formative Evaluation of Digital Health Interventions (2491) Surveillance Systems (466) Decision Support for Health Professionals (1210)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36055, first published .
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model

An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model

An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model

Authors of this article:

Whitney S Brakefield1, 2 Author Orcid Image ;   Nariman Ammar1, 3 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Whitney S Brakefield   1, 2 , MSc, PhD ;   Nariman Ammar   1, 3 , MSc, PhD ;   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 Bredesen Center for Data Science, University of Tennessee, Knoxville, TN, United States

3 Ochsner Xavier Institute for Health Equity and Research, Ochsner Clinic Foundation, New Orleans, LA, 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 Street, R492
  • Memphis, TN, 38103
  • United States
  • Phone: 1 901 287 5863
  • Email: ashabann@uthsc.edu