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Data Mining in Oral Medicine Using Decision Trees
Chalmers University of Technology.
Chalmers University of Technology.
Chalmers University of Technology.
Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL). Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0001-8884-2154
2008 (engelsk)Inngår i: 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, s. 225-230Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
World Academy of Science Engineering and Technology - WASET , 2008. s. 225-230
Serie
Proceedings of World Academy of Science Engineering and Technology, ISSN 1307-6884 ; 27
Emneord [en]
Data mining, Oral Medicine, Decision Trees, WEKA
HSV kategori
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Identifikatorer
URN: urn:nbn:se:his:diva-2887ISI: 000261165400039OAI: oai:DiVA.org:his-2887DiVA, id: diva2:209091
Konferanse
5th International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE 2008), Cairo, Egypt, February 6–8, 2008
Tilgjengelig fra: 2009-03-23 Laget: 2009-03-23 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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