Using artificial neural networks for classifying ICU patient states
Van Gils, Mark, Jansen, H., Neiminen, K., Summers, R., and Weller, P.R. (1997) Using artificial neural networks for classifying ICU patient states. IEEE Engineering in Medicine and Biology Magazine, 16 (6). pp. 41-47.
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View at Publisher Website: http://dx.doi.org/10.1109/51.637116
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 aim to show that there are alternative methods of selecting clinical variables on which to base a diagnosis.
|Item Type:||Article (Refereed Research - C1)|
This publication does not have an abstract. The first paragraph of the introduction is displayed as the abstract.
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 50%|
08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 50%
|SEO Codes:||92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 50%|
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 50%
|Deposited On:||01 Sep 2010 11:45|
|Last Modified:||12 Feb 2011 03:37|
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