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Rule generation as an alternative to knowledge acquisition: a systems architecture for medical informatics
Åbo Akademi University, Department of Computer Science, Åbo, Finland.
Turku University Central Hospital, Department of Medicine, Turku, Finland.
Åbo Akademi University, Department of Computer Science, Åbo, Finland.
Åbo Akademi University, Department of Computer Science, Åbo, Finland.
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1994 (English)In: Fuzzy sets and systems (Print), ISSN 0165-0114, E-ISSN 1872-6801, Vol. 66, no 2, p. 195-205Article in journal (Refereed) Published
Abstract [en]

This paper describes a clinical support systems workbench, DiagaiD, based on an efficient transfer of patient data between health care professionals and clinical subsystems. The DiagaiD workbench provides tools for decision support developments for open-loop systems.A leading ambition for our development work has been to establish a data analysis and knowledge elicitation workbench, in which medical professionals entirely by themselves can create stand-alone expert systems.

Place, publisher, year, edition, pages
Elsevier, 1994. Vol. 66, no 2, p. 195-205
Keywords [en]
Clinical support system, Knowledge elicitation, Data preprocessing, Neural fuzzy system, MUMPS
National Category
Computer Sciences Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-80557DOI: 10.1016/0165-0114(94)90310-7OAI: oai:DiVA.org:umu-80557DiVA, id: diva2:650381
Available from: 2013-09-20 Created: 2013-09-20 Last updated: 2018-06-08Bibliographically approved

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Eklund, Patrik

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