@inproceedings{74dfc8a22de245b5bf9c70f4e90ab1c4,
title = "Contrast set mining for distinguishing between similar diseases",
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.",
author = "Petra Kralj and Nada Lavra{\v c} and Dragan Gamberger and Antonija Krsta{\v c}i{\'c}",
year = "2007",
doi = "10.1007/978-3-540-73599-1_12",
language = "English",
isbn = "3540735984",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "109--118",
booktitle = "Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings",
note = "11th Conference on Artificial Intelligence in Medicine, AIME 2007 ; Conference date: 07-07-2007 Through 11-07-2007",
}