Contrast Set Mining for Distinguishing Between Similar Diseases

Authors:
Petra Kralj;Nada Lavrač;Dragan Gamberger;Antonija Krstačić
Affiliations:
Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia;Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia and University of Nova Gorica, Vipavska 13, 5000 Nova Gorica, Slovenia;Rudjer Bošković Institute, Bijenička 54, 10000 Zagreb, Croatia;University Hospital of Traumatology, Draškovićeva 19, 10000 Zagreb, Croatia
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

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Abstract

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.