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Data Mining in Oral...
Data Mining in Oral Medicine Using Decision Trees
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- Khan, Fahad Shabhaz (författare)
- Chalmers University of Technology
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- Anwer, Rao Muhammad (författare)
- Chalmers University of Technology
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- Torgersson, Olof, 1964 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Interaktionsdesign (GU),Department of Computer Science and Engineering, Interaction Design (GU),Chalmers University of Technology
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- Falkman, Göran, 1968- (författare)
- Högskolan i Skövde,Forskningscentrum för Informationsteknologi,Skövde Artificial Intelligence Lab (SAIL),Institutionen för kommunikation och information
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Shahbaz Kahn, Fahad (författare)
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(creator_code:org_t)
- World Academy of Science Engineering and Technology - WASET, 2008
- 2008
- Engelska.
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Ingår 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. ; 27, s. 225-230
- Relaterad länk:
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http://www.waset.org...
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https://urn.kb.se/re...
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https://research.cha...
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https://gup.ub.gu.se...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Data mining
- Oral Medicine
- Decision Trees
- WEKA
- Computer science
- Datavetenskap
- Teknik
- Technology
- Data mining
- Oral medicine
- Decision trees
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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