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Data mining and structuring of executable dataanalysis reports: Guideline development and implementation in a narrowsense
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-3965-2834
2000 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 77, p. 790-794Article in journal (Refereed) Published
Abstract [en]

In this paper we present a data mining scenario that supports development of automated web-based documentation of data analysis for diagnosis and treatment The documents can be seen as guidelines in a narrow sense, and are designed to include executable modules for the corresponding decision support systems. Our aim is to discuss the possibilities of identifying certain types of diagnoses and treatments for which guidelines can be generated and computerised more systematically.

Place, publisher, year, edition, pages
IOS Press, 2000. Vol. 77, p. 790-794
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-80601OAI: oai:DiVA.org:umu-80601DiVA, id: diva2:650498
Conference
Medical Infobahn for Europe, Proceedings. 16th Medical Informatics Europe Congress/45th Annual Congress of the German-Association-for-Medical-Informatics-Biometry-and-Epidemiology, Hanover, Germany, June 2000
Note

Medical Infobahn for Europe, Proceedings. Edited by: Hasman, A; Blobel, B; Dudeck, J; Engelbrecht, R; Gell, G; Prokosch, HU. ISBN: 1-58603-063-9

Available from: 2013-09-22 Created: 2013-09-22 Last updated: 2024-04-11Bibliographically approved

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Eklund, Patrik

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