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

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