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

Authors :
RAJABI, Enayat
ETMINANI, Kobra
Source :
Studies in Health Technology & Informatics; 2021, Issue 281, p502-503, 2p, 1 Diagram
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Issue :
281
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
150593603
Full Text :
https://doi.org/10.3233/SHTI210215