Research article summary (published 12 Jan 2008):

Diagnostic reasoning and medical decision-making with fuzzy influence diagrams.

Full Abstract

Influence diagrams have been widely used as knowledge bases in medical informatics and many applied domains. In conventional influence diagrams, the numerical models of uncertainty are probability distributions associated with chance nodes and value tables for value nodes. However, when incomplete knowledge or linguistic vagueness is involved in the reasoning systems, the suitability of probability distributions is questioned. This study intends to propose an alternative numerical model for influence diagrams, possibility distributions, which extend influence diagrams into fuzzy influence diagrams. In fuzzy influence diagrams, each chance node and value node is associated with a possibility distribution which expresses the uncertain features of the node. This study also develops a simulation algorithm and a fuzzy programming model for diagnosis and optimal decision in medical settings.

Author information

Author/s: Kao, Han-Ying (HY);

Affiliation: Department of Computer and Information Science, National Hualien University of Education, 123 Hua-Hsi Road, Hualien 970, Taiwan, ROC. teresak_hk(-atsign-)yahoo.com.tw

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Computer methods and programs in biomedicine (Comput Methods Programs Biomed), published in Ireland. (Language: eng)

Reference: 2008-Apr; vol 90 (issue 1) : pp 9-16

Dates: Created 2008/03/05; Completed 2008/05/20;

PMID: 18192070, status: MEDLINE (last retrieved date: 2/18/2009)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MeSH Headings (categories) shown below.

Algorithms Decision Making, Computer-Assisted Decision Support Systems, Clinical Decision Support Techniques

Decision Support Techniques Diagnosis, Computer-Assisted - methods Expert Systems Fuzzy Logic

Note: Bold headings indicate primary MeSH headings or qualifiers.

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