PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Contrast Set Mining for Distinguishing between Similar Diseases
Petra Kralj, Nada Lavrac, Dragan Gamberger and Antonija Krstačić
In: 11th Conference on Artificial Intelligence in Medicine (AIME 07), 07-11 July 2007, Amsterdam, The Netherlands.


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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:3230
Deposited By:Petra Kralj
Deposited On:24 January 2008