Title: Predictive data mining in intensive care
Authors: Guiza Grandas, Fabian ×
Fierens, Daan
Ramon, Jan
Blockeel, Hendrik
Meyfroidt, Geert
Bruynooghe, Maurice
Van den Berghe, Greet #
Issue Date: May-2006
Host Document: Proceedings of the 15th Annual Machine Learning Conference of Belgium and the Netherlands (BENELEARN) pages:81-88
Conference: Annual Machine Learning Conference of Belgium and the Netherlands (BENELEARN) edition:15 location:Ghent, Belgium date:11-12 May 2006
Abstract: In this paper we describe an application of data mining methods for different prediction tasks in an intensive care unit. Some of the challenging aspects of performing data mining in this domain are highlighted. The applied methods result in models with good performances within medical standards that can be valuable in assisting medical decision making.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
Unit for Clinical-Translational Research (-)
Laboratory of Intensive Care Medicine
× corresponding author
# (joint) last author

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