Title of article :
Mining data from intensive care patients
Author/Authors :
Ramon، نويسنده , , Jan and Fierens، نويسنده , , Daan and Güiza، نويسنده , , Fabiلn and Meyfroidt، نويسنده , , Geert and Blockeel، نويسنده , , Hendrik and Bruynooghe، نويسنده , , Maurice and Van Den Berghe، نويسنده , , Greet، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
14
From page :
243
To page :
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.
Keywords :
intensive care , dynamic systems
Journal title :
ADVANCED ENGINEERING INFORMATICS
Serial Year :
2007
Journal title :
ADVANCED ENGINEERING INFORMATICS
Record number :
1384320
Link To Document :
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