Towards a Knowledge Graph-Based Explainable Decision Support System in Healthcare.

Journal: Studies in health technology and informatics
Published Date:

Abstract

The decisions derived from AI-based clinical decision support systems should be explainable and transparent so that the healthcare professionals can understand the rationale behind the predictions. To improve the explanations, knowledge graphs are a well-suited choice to be integrated into eXplainable AI. In this paper, we introduce a knowledge graph-based explainable framework for AI-based clinical decision support systems to increase their level of explainability.

Authors

  • Enayat Rajabi
    Cape Breton University, Sydney, NS, Canada.
  • Kobra Etminani
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: EtminaniK@mums.ac.ir.