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2011.08090
Cited By

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

6 November 2020

Arash Shaban-Nejad

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

A Joint-Reasoning based Disease Q&A System

A Joint-Reasoning based Disease Q&A System

Prakash Chandra Sukhwal

163

0

0

06 Jan 2024

On Explainability in AI-Solutions: A Cross-Domain Survey

On Explainability in AI-Solutions: A Cross-Domain Survey

Daniel Schneider

Hans D. Schotten

262

6

0

11 Oct 2022

An Urban Population Health Observatory for Disease Causal Pathway
Analysis and Decision Support: Underlying Explainable Artificial Intelligence
Model

An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence ModelJMIR Formative Research (JMIR Form Res), 2022

Whitney S. Brakefield

A. Shaban-Nejad

180

10

0

26 Jul 2022

Using a Personal Health Library-Enabled mHealth Recommender System for
Self-Management of Diabetes Among Underserved Populations: Use Case for
Knowledge Graphs and Linked Data

Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked DataJMIR Formative Research (JMIR Form Res), 2021

Arash Shaban-Nejad

88

28

0

16 Mar 2021

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