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 Ammar 1 Author Orcid Image ;   Arash Shaban-Nejad 1 Author Orcid Image
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, US

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
  • US
  • Phone: 1 901-287-583
  • Email: ashabann@uthsc.edu