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Data Mining in Oral Medicine Using Decision Trees
Chalmers University of Technology.
Chalmers University of Technology.
Chalmers University of Technology.
University of Skövde, The Informatics Research Centre. University of Skövde, Skövde Artificial Intelligence Lab (SAIL). University of Skövde, School of Humanities and Informatics.ORCID iD: 0000-0001-8884-2154
2008 (English)In: Proceedings of the 5th International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE 2008), Cairo, Egypt, February 6–8, 2008, World Academy of Science Engineering and Technology - WASET , 2008, 225-230 p.Conference paper, (Refereed)
Abstract [en]

Data mining has been used very frequently to extract hidden information from large databases. This paper suggests the use of decision trees for continuously extracting the clinical reasoning in the form of medical expert’s actions that is inherent in large number of EMRs (Electronic Medical records). In this way the extracted data could be used to teach students of oral medicine a number of orderly processes for dealing with patients who represent with different problems within the practice context over time.

Place, publisher, year, edition, pages
World Academy of Science Engineering and Technology - WASET , 2008. 225-230 p.
Series
Proceedings of World Academy of Science Engineering and Technology, ISSN 1307-6884 ; 27
Keyword [en]
Data mining, Oral Medicine, Decision Trees, WEKA
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2887ISI: 000261165400039OAI: oai:DiVA.org:his-2887DiVA: diva2:209091
Conference
5th International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE 2008), Cairo, Egypt, February 6–8, 2008
Available from: 2009-03-23 Created: 2009-03-23 Last updated: 2014-05-16Bibliographically approved

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Falkman, Göran
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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