Files and links (1)
CC BY-NC V4.0, Open Access
Conference proceeding
KQA: A Knowledge Quality Assessment Model for Clinical Decision Support Systems
MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS, Vol.245, pp.983-986
Studies in Health Technology and Informatics
16th World Congress on Medical and Health Informatics (MEDINFO 2017): Precision Healthcare through Informatics, Hangzhou, China (21/08/2017–25/08/2017)
2017
PMID: 29295247
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.
Details
- Title
- KQA: A Knowledge Quality Assessment Model for Clinical Decision Support Systems
- Authors/Creators
- Seyedjamal Zolhavarieh - Auckland University of TechnologyDave Parry - Auckland University of Technology
- Contributors
- A V Gundlapalli (Editor)M C Jaulent (Editor)D Zhao (Editor)
- Publication Details
- MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS, Vol.245, pp.983-986
- Conference
- 16th World Congress on Medical and Health Informatics (MEDINFO 2017): Precision Healthcare through Informatics, Hangzhou, China (21/08/2017–25/08/2017)
- Series
- Studies in Health Technology and Informatics
- Publisher
- Ios Press
- Number of pages
- 4
- Identifiers
- 991005618145207891
- Copyright
- © 2017 International Medical Informatics Association (IMIA) and IOS Press.
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference proceeding
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
3 File views/ downloads
15 Record Views