Contrast Set Mining for Distinguishing between Similar Diseases (CROSBI ID 529069)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kralj, Petra ; Lavrač, Nada ; Gamberger, Dragan ; Krstačić, Antonija
engleski
Contrast Set Mining for Distinguishing between Similar Diseases
The task addressed and the method proposed in this paper aim at improved understanding of differences between similar diseases. In particular we address the problem of distinguishing between thrombolic brain stroke and embolic brain stroke as an application of our approach of contrast set mining through subgroup discovery. We describe methodological lessons learned in the analysis of brain ischaemia data and a practical implementation of the approach within an open source data mining toolbox.
subgroup discovery; rule learning; contrast set mining
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Podaci o prilogu
109-118-x.
2007.
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objavljeno
Podaci o matičnoj publikaciji
Belazzi, Ricarrdo ; Abu-Hanna, Ameen ; Hunter, Jim
Berlin : Heidelberg: Springer
978-3-540-73598-4
0302-9743
Podaci o skupu
11th Conference on Artificial Intelligence in Medicine, AIME 2007
predavanje
07.07.2007-11.07.2007
Amsterdam, Nizozemska