Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • text
  • asciidoc
  • rtf
Rough Sets Based on Reducts of Conditional Attributes in Medical Classification of the Diagnosis Status
Responsible organisation
2008, June 1 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Rough sets constitute helpful mathematical tools of the classification of objects belonging to a certain universe when dividing the universe in two collections filled with sure and possible members. In this work we adopt the rough technique to verify diagnostic decisions concerning a sample of patients whose symptoms are typical of a considered diagnosis. The objective is to extract the patients who surely suffer from the diagnosis, to indicate the patients who are free from it, and even to make decisions in undefined diagnostic cases. We also consider a decisive power of reducts being minimal collections of symptoms, which preserve the previous classification results. We use them in order to minimize a number of numerical calculations in the classification process. Finally, by testing influence of symptom intensity levels on the diagnosis indisputable appearance we select these standards, whose either presence or absence in the patients allows us to add complementary remarks making the classification effects even more readable.

Place, publisher, year, edition, pages
Hong Kong: IEEE Computational Intelligence Society , 2008, June 1.
Keywords [en]
Rough sets, Classification of diagnoses, Reducts of conditional attributes
National Category
Mathematics Mathematical Analysis
Identifiers
URN: urn:nbn:se:bth-8772ISI: 000262974000157Local ID: oai:bth.se:forskinfoABBD97A996870A52C12573C60050EB6FISBN: 978-1-4244-1818-3 (print)OAI: oai:DiVA.org:bth-8772DiVA, id: diva2:836524
Conference
IEEE World Congress on Computational Intelligence 2008
Available from: 2012-09-18 Created: 2008-01-04 Last updated: 2016-09-20Bibliographically approved

Open Access in DiVA

fulltext(200 kB)227 downloads
File information
File name FULLTEXT01.pdfFile size 200 kBChecksum SHA-512
cc7703cb970f6aaae4afc570214565e2f6914c184d9eb1d8f30acb46a47288034559599f041bc047ebb9cbd82bc9c3b6299fac7111193982667bca2d74aa7307
Type fulltextMimetype application/pdf

Authority records

Rakus-Andersson, Elisabeth

Search in DiVA

By author/editor
Rakus-Andersson, Elisabeth
MathematicsMathematical Analysis

Search outside of DiVA

GoogleGoogle Scholar
Total: 227 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 134 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • text
  • asciidoc
  • rtf