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Knowledge representation forms for data mining methodologies as applied in thoracic surgery
Technical University Graz Austria.
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Thoracic Surgery. Östergötlands Läns Landsting, Heart Centre, Department of Thoracic and Vascular Surgery.
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, Biomedical Instrumentation.
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2000 (English)In: AMIA,2000, Philadelphia: Hanley & Belfus Inc , 2000, 428-432 p.Conference paper, Published paper (Refereed)
Abstract [en]

Typical ways of disseminating and using results of clinical research are scientific journals and reports. Presentation forms are condensed and comprehensible mainly to the experts following the specific topics. A vast amount of information remains unutilized due to the complex form of presenting the knowledge. Subject of this research is to explore possibilities of representation and also visualization of the results obtained using data mining methodologies. The intention is to formulate more than scientific ways to communicate facts that are of interest for the clinicians, medical students and even patients. Internet technologies as already widely established media support knowledge representation forms such as hypertext documents and structured knowledge components. The "Assist Me" decision support system for surgical treatment of cardiac patients integrates several forms of data mining and representation methodologies. We are showing a feasibility study in which scientific outcomes were forwarded to a broad group of potential users.

Place, publisher, year, edition, pages
Philadelphia: Hanley & Belfus Inc , 2000. 428-432 p.
Series
American Medical Informatics Association, ISSN 1067-5027 ; Volume 7, Issue 56
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-29756Local ID: 15161ISBN: 156053480X (print)OAI: oai:DiVA.org:liu-29756DiVA: diva2:250573
Conference
Annual Symposium of the American Medical Informatics Association, 4-8 November 2000, Westin Bonaventure Hotel & Suites, Los Angeles, CA, USA
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2015-01-29

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http://www.worldcat.org/title/knowledge-representation-forms-for-data-mining-methodologies-as-applied-in-thoracic-surgery/oclc/456058131

Authority records BETA

Granfeldt, HansBabic, AnkicaAntonsson, JohanAhn, Henrik Casimir

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Granfeldt, HansBabic, AnkicaAntonsson, JohanAhn, Henrik Casimir
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Faculty of Health SciencesThoracic SurgeryDepartment of Thoracic and Vascular SurgeryThe Institute of TechnologyMedical InformaticsBiomedical Instrumentation
Medical and Health Sciences

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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