Title: Mining data from intensive care patients
Authors: Ramon, Jan ×
Fierens, Daan
Guiza Grandas, Fabian
Meyfroidt, Geert
Blockeel, Hendrik
Bruynooghe, Maurice
Van den Berghe, Greet #
Issue Date: Jul-2007
Publisher: Elsevier sci ltd
Series Title: Advanced engineering informatics vol:21 issue:3 pages:243-256
Abstract: In this paper we describe the application of data mining methods for predicting the evolution of patients in an intensive care unit. We discuss the importance of such methods for health care and other application domains of engineering. We argue that this problem is an important but challenging one for the current state of the art data mining methods and explain what improvements on current methods would be useful. We present a promising study on a preliminary data set that demonstrates some of the possibilities in this area.
ISSN: 1474-0346
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
Laboratory of Intensive Care Medicine
× corresponding author
# (joint) last author

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