Using conceptual graphs for clinical guidelines representation and knowledge visualization

Bernard Kamsu-Foguem (), Germaine Tchuenté-Foguem and Clovis Foguem
Additional contact information
Bernard Kamsu-Foguem: ENIT-INPT University of Toulouse
Germaine Tchuenté-Foguem: University of Lille - North of France
Clovis Foguem: Center for Food and Taste sciences (CSGA) - UMR 6265 CNRS – UMR 1324 INRA - University of Burgundy

Information Systems Frontiers, 2014, vol. 16, issue 4, No 4, 589 pages

Abstract: Abstract The intrinsic complexity of the medical domain requires the building of some tools to assist the clinician and improve the patient’s health care. Clinical practice guidelines and protocols (CGPs) are documents with the aim of guiding decisions and criteria in specific areas of healthcare and they have been represented using several languages, but these are difficult to understand without a formal background. This paper uses conceptual graph formalism to represent CGPs. The originality here is the use of a graph-based approach in which reasoning is based on graph-theory operations to support sound logical reasoning in a visual manner. It allows users to have a maximal understanding and control over each step of the knowledge reasoning process in the CGPs exploitation. The application example concentrates on a protocol for the management of adult patients with hyperosmolar hyperglycemic state in the Intensive Care Unit.

Keywords: Conceptual graphs; Knowledge representation; Visual reasoning; Medical protocols; Intensive care units (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-012-9360-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:16:y:2014:i:4:d:10.1007_s10796-012-9360-2

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-012-9360-2

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().