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

Theme issue 2019: Semantics of Mental Health (5)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18752, first published .
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development

Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development

Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development

Authors of this article:

Nariman Ammar1 Author Orcid Image ;   Arash Shaban-Nejad1 Author Orcid Image
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Nariman Ammar   1 , PhD ;   Arash Shaban-Nejad   1 , MSc, MPH, PhD

1 University of Tennessee Health Science Center - Oak Ridge National Laboratory, Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, United States

Corresponding Author:

  • Arash Shaban-Nejad, MSc, MPH, PhD
  • University of Tennessee Health Science Center - Oak Ridge National Laboratory, Center for Biomedical Informatics
  • Department of Pediatrics, College of Medicine
  • Memphis, TN
  • United States
  • Phone: 1 901-287-583
  • Email: ashabann@uthsc.edu