International Journal of Computational Intelligence Systems

Volume 1, Issue 2, May 2008, Pages 159 - 167

Clinical Decision Support Systems: a Review of Knowledge Representation and Inference under Uncertainties

Authors
Guilan Kong, Dong-Ling Xu, Jian-Bo Yang
Corresponding Author
Guilan Kong
Received 24 September 2007, Revised 7 April 2008, Available Online 1 May 2008.
DOI
10.2991/ijcis.2008.1.2.6How to use a DOI?
Keywords
clinical decision support system, inference mechanism, knowledge representation scheme, knowledge acquisition tool, group clinical decision making, uncertainty handling.
Abstract

This paper provides a literature review in clinical decision support systems (CDSSs) with a focus on the way knowledge bases are constructed, and how inference mechanisms and group decision making methods are used in CDSSs. Particular attention is paid to the uncertainty handling capability of the commonly used knowledge representation and inference schemes. The definition of what constitute good CDSSs and how they can be evaluated and validated are also considered. Some future research directions for handling uncertainties in CDSSs are proposed.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 2
Pages
159 - 167
Publication Date
2008/05/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2008.1.2.6How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Guilan Kong
AU  - Dong-Ling Xu
AU  - Jian-Bo Yang
PY  - 2008
DA  - 2008/05/01
TI  - Clinical Decision Support Systems: a Review of Knowledge Representation and Inference under Uncertainties
JO  - International Journal of Computational Intelligence Systems
SP  - 159
EP  - 167
VL  - 1
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.2.6
DO  - 10.2991/ijcis.2008.1.2.6
ID  - Kong2008
ER  -