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Agent-based reasoning in medical planning and diagnosis combining multiple strategies
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. (Arcum)
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
2014 (Engelska)Ingår i: International journal on artificial intelligence tools, ISSN 0218-2130, Vol. 23, nr 01, Special issue, s. 1440004-Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
World Scientific, 2014. Vol. 23, nr 01, Special issue, s. 1440004-
Nyckelord [en]
Medical diagnosis, decision making, knowledge representation and reasoning
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
datalogi
Identifikatorer
URN: urn:nbn:se:umu:diva-79513DOI: 10.1142/S0218213014400041ISI: 000332124600006OAI: oai:DiVA.org:umu-79513DiVA, id: diva2:642264
Forskningsfinansiär
VINNOVATillgänglig från: 2013-08-21 Skapad: 2013-08-21 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

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Förlagets fulltexthttp://www.worldscientific.com/doi/abs/10.1142/S0218213014400041

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Nieves, Juan CarlosLindgren, Helena

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International journal on artificial intelligence tools
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Totalt: 314 träffar
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