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

Nariman AmmarArash Shaban-Nejad
Published in: JMIR medical informatics (2020)
This semantic-driven explainable artificial intelligence prototype can enhance health care practitioners' ability to provide explanations for the decisions they make.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • deep learning
  • primary care
  • mental health
  • emergency department
  • childhood cancer
  • adverse drug
  • young adults
  • health insurance
  • affordable care act