Cart (Loading....) | Create Account
Close category search window
 

Using artificial neural networks for classifying ICU patient states

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
van Gils, M. ; VTT Inf. Technol., Tampere, Finland ; Jansen, H. ; Nieminen, K. ; Summers, R.
more authors

The rapid accurate diagnosis of critical disorders is an essential component of intensive care. Traditional diagnostic techniques have relied on physician experience, which is based on a data set chosen from his or her personal preferences, rather than from scientific merit. In this article, we show that there are alternative methods of selecting clinical variables on which to base a diagnosis. We suggest that a model-based technique utilizing artificial neural networks (ANNs) can be used to investigate alternative, objectively chosen data input sets. Traditionally, ANNs have been used for diagnosis or prediction tasks; however, this article introduces a novel method of exploring the inner structure of suitably trained ANNs to determine a set of key variables for each clinical state defined. Two different ANN techniques are proposed: self-organizing maps and backpropagation networks. We do not claim that these techniques provide the optimal data set for decision making, but we do show that other combinations of data exist that may be an improvement over the physician methods currently used

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:16 ,  Issue: 6 )

Date of Publication:

Nov/Dec 1997

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.