Using artificial neural networks for classifying ICU patient states

被引：10
|
作者：
vanGils, M
Jansen, H
Nieminen, K
Summers, R
Weller, PR
机构：
[1] VTT Information Technology, Tampere
[2] Ctr. for Msrmt. and Info. in Med., City University, London
[3] Kuopio University Hospital, Dept. of Intensive Care, Kuopio
[4] NIH/NIA Gerontology Research Center, Baltimore, MD
[5] Dept. Anaestesiology Intensive Care, Kuopio University Hospital
[6] City University, London
[7] IMEKO, IFAC
[8] VTT Information Technology, FIN-33101 Tampere
来源：
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 06期
关键词：
D O I：
10.1109/51.637116
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
At present, several alternative approaches of selecting clinical variables on which to base a diagnosis are already available. One such approach is a model-based technique utilizing artificial neural networks (ANNs). Two different ANN techniques (SOM and BPNs) are used to objectively investigate chosen data input sets. Results show that both can aid in clinical decision making.
引用
收藏
页码：41 / 47
页数：7
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