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Computational intelligence for medical information analysis and refinement
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Dept. of Computer Science, Åbo Akademi University.
1999 (English)In: Soft computing in human-related sciences / [ed] Horia Nicolai Teodorescu, Abraham Kandel and Lakhmi C Jain, Boca Raton, FL: CRC Press , 1999, 115-134 p.Chapter in book (Other academic)
Abstract [en]

In this chapter we will describe an architecture of a workstation that combines data mining tools with analysis tools in building new decision support systems and automatically integrates the new system into a diagnosis classification skeleton. The workstation is intended to support fast and efficient navigation towards a correct diagnosis and consists of modules each capable of supporting the diagnosis of specific diseases. The production line within which domain experts can generate decision support systems for a specific disease themselves will be described together with one of the analysis tools used in the production line, the generalised preprocessing perceptron (GPP). The GPP has a structure that allows results comparable to a multilayer perceptron, yet perceiving parameter interpretations relevant within the medical domain.

Place, publisher, year, edition, pages
Boca Raton, FL: CRC Press , 1999. 115-134 p.
Identifiers
URN: urn:nbn:se:umu:diva-34616ISBN: 0-8493-1635-9 (print)OAI: oai:DiVA.org:umu-34616DiVA: diva2:323185
Available from: 2010-06-09 Created: 2010-06-09 Last updated: 2010-07-12Bibliographically approved

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Eklund, PatrikKallin, Lena

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