A knowledge quality assessment model for clinical decision support systems

Date
2018-01-06
Authors
Parry, D
Zolhavarieh, SJ
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
IOS Press
Abstract

Informatics researchers have developed many methods for using computers to utilize knowledge in decision making in the form of clinical decision support systems (CDSSs). These systems can enhance human decision making in the healthcare domain. The knowledge acquisition bottleneck is one of the well-known issues in developing knowledge-based systems such as CDSS. It can be considered as a flow of knowledge from different knowledge sources to the main system. Most existing methods for extracting knowledge from knowledge resources suffer from the lack of a proper mechanism for extracting high-quality knowledge. In this paper, we propose a framework to discover high-quality knowledge by utilizing Semantic Web technologies.

Description
Keywords
Decision Support Systems, Clinical; Knowledge Management, Information Storage and Retrieval
Source
Studies in Health Technology and Informatics, Ebook, Volume 245: MEDINFO 2017: Precision Healthcare through Informatics, pp. 983-986, doi:10.3233/978-1-61499-830-3-983
Rights statement
This book is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).