Published on in Vol 6, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13498, first published .
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques

Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques

Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques

Journals

  1. Brenas J, Shaban-Nejad A. Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. IEEE Access 2020;8:9942 View
  2. Dhombres F, Charlet J. Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook. Yearbook of Medical Informatics 2020;29(01):163 View
  3. Hao W, Menglin J, Guohui T, Qing M, Guoliang L. R-KG: A Novel Method for Implementing a Robot Intelligent Service. AI 2020;1(1):117 View
  4. Ammar N, Shaban-Nejad A. Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. JMIR Medical Informatics 2020;8(11):e18752 View
  5. Ammar N, Bailey J, Davis R, Shaban-Nejad A. The Personal Health Library (PHL): Enabling an mHealth Recommender System for Self-Management of Diabetes among Underserved Population with Multiple Chronic Conditions (Preprint). JMIR Formative Research 2020 View

Books/Policy Documents

  1. Shaban-Nejad A, Michalowski M. Precision Health and Medicine. View
  2. Shaban-Nejad A, Michalowski M, Buckeridge D. Explainable AI in Healthcare and Medicine. View