umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Agent-based reasoning in medical planning and diagnosis combining multiple strategies
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Arcum)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2014 (English)In: International journal on artificial intelligence tools, ISSN 0218-2130, Vol. 23, no 01, Special issue, 1440004- p.Article in journal (Refereed) Published
Abstract [en]

Medical reasoning describes a form of qualitative inquiry that examines the cognitive (thought) processes involved in making medical decision. In this field the goal for diagnostic reasoning is assessing causes of observed conditions in order to make informed choices about treatment. In order to design a diagnostic reasoning method we merge ideas from a hypothetic-deductive method and the Domino model. In this setting, we introduce the so called Hypothetic-Deductive-Domino (HD-D) algorithm. In addition, a multi-agent approach is presented, which takes advantage of the HD-D algorithm for illuminating different standpoints in a diagnostic reasoning and assessment process, and for reaching a well-founded conclusion. This multi-agent approach is based on the so called Observer and Validating agents. The Observer agents are supported by a deductive inference process and the Validating agents are supported by an abductive inference process.  The knowledge bases of these agents are captured by a class of possibilistic logic programs. Hence, these agents are able to deal with qualitative information. The approach is illustrated by a real scenario from diagnosing dementia diseases.

Place, publisher, year, edition, pages
World Scientific, 2014. Vol. 23, no 01, Special issue, 1440004- p.
Keyword [en]
Medical diagnosis, decision making, knowledge representation and reasoning
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-79513DOI: 10.1142/S0218213014400041ISI: 000332124600006OAI: oai:DiVA.org:umu-79513DiVA: diva2:642264
Funder
VINNOVA
Available from: 2013-08-21 Created: 2013-08-21 Last updated: 2017-12-06Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://www.worldscientific.com/doi/abs/10.1142/S0218213014400041

Authority records BETA

Nieves, Juan CarlosLindgren, Helena

Search in DiVA

By author/editor
Nieves, Juan CarlosLindgren, Helena
By organisation
Department of Computing Science
In the same journal
International journal on artificial intelligence tools
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 218 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf