Using artificial neural networks for classifying ICU patient states

Mark Van Gils; H. Jansen; K. Nieminen; R. Summers; P. R. Weller

doi:10.1109/51.637116

Using artificial neural networks for classifying ICU patient states

Mark Van Gils, H. Jansen, K. Nieminen, R. Summers, P. R. Weller

Research output: Contribution to journal › Article › Scientific › peer-review

17 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	41-47
Number of pages	7
Journal	IEEE Engineering in Medicine and Biology Magazine
Volume	16
Issue number	6
DOIs	https://doi.org/10.1109/51.637116
Publication status	Published - Nov 1997
Externally published	Yes
Publication type	A1 Journal article-refereed

ASJC Scopus subject areas

Biomedical Engineering

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title = "Using artificial neural networks for classifying ICU patient states",

abstract = "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.",

author = "{Van Gils}, Mark and H. Jansen and K. Nieminen and R. Summers and Weller, {P. R.}",

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AU - Van Gils, Mark

AU - Jansen, H.

AU - Nieminen, K.

AU - Summers, R.

AU - Weller, P. R.

PY - 1997/11

Y1 - 1997/11

N2 - 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.

AB - 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.

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U2 - 10.1109/51.637116

DO - 10.1109/51.637116

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AN - SCOPUS:0031282276

SN - 0739-5175

VL - 16

SP - 41

EP - 47

JO - IEEE Engineering in Medicine and Biology Magazine

JF - IEEE Engineering in Medicine and Biology Magazine

IS - 6

ER -

Using artificial neural networks for classifying ICU patient states

Abstract

ASJC Scopus subject areas

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