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Clustering as a data mining method in a Web-based system for thoracic surgery
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Uppsala Universitet.
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2001 (English)In: Journal of the Medical Informatics Association. Symposium Supplement, Washington: Hanley&Belfus , 2001, 888- p.Conference paper, Published paper (Refereed)
Abstract [en]

Cluster analysis is one way of data mining from large amounts of information. Being able to perform series of analyses, varying clinical criteria and requests, expected results of the clustering might be truly rewarding. Instead of having a few hypotheses prepared and tested, medical experts can be surprised by obtaining a set of hypotheses to further validate and work on.

Internet technologies enable a substantial flexibility that can be taken advantage of when implementing a Web-based tool. Division of Medical Informatics together with Linkoping Heart Center of the Linkoping University is developing procedures for multivariate clustering within the Web-based AssistMe1 system.

Place, publisher, year, edition, pages
Washington: Hanley&Belfus , 2001. 888- p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-29005Local ID: 14238ISBN: 1560535369 (print)OAI: oai:DiVA.org:liu-29005DiVA: diva2:249817
Conference
Journal of the Medical Informatics Association. Symposium Supplement, AMIA Annual Symposium, 3-7 November 2001, Washington, DC, USA
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2015-06-16

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Dahlström, ÖrjanBabic, AnkicaAntonsson, JohanAhn, Henrik Casimir

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Dahlström, ÖrjanBabic, AnkicaAntonsson, JohanAhn, Henrik Casimir
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Department of Biomedical EngineeringThe Institute of TechnologyMedical InformaticsThoracic SurgeryFaculty of Health SciencesDepartment of Thoracic and Vascular Surgery
Medical and Health Sciences

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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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