Incorporating semiotics into fuzzy logic to enhance clinical decision support systems

Xiuxiu Chen, Huiying Gao, Kecheng Liu, Ying Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In order to enhance the quality of care, healthcare organisations are increasingly resorting to clinical decision support systems (CDSSs), which provide physicians with appropriate health care decisions or recommendations. However, how to explicitly represent the diverse vague medical knowledge and effectively reason in the decision-making process are still problems we are confronted. In this paper, we incorporate semiotics into fuzzy logic to enhance CDSSs with the aim of providing both the abilities of describing medical domain concepts contextually and reasoning with vague knowledge. A semiotically inspired fuzzy CDSSs framework is presented, based on which the vague knowledge representation and reasoning process are demonstrated.

Original languageEnglish
Title of host publicationService Science and Knowledge Innovation - 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014, Proceedings
EditorsKecheng Liu, Stephen R. Gulliver, Weizi Li, Changrui Yu
PublisherSpringer New York LLC
Pages97-106
Number of pages10
ISBN (Electronic)9783642553547
DOIs
Publication statusPublished - 2014
Event15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014 - Shanghai, China
Duration: 23 May 201424 May 2014

Publication series

NameIFIP Advances in Information and Communication Technology
Volume426
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014
Country/TerritoryChina
CityShanghai
Period23/05/1424/05/14

Keywords

  • CDSSs
  • Fuzzy logic theory
  • Knowledge reasoning
  • Knowledge representation
  • Semiotics

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