A Physiological Model for Burn Injury and Resuscitation
Author:
Affiliation:
1. UTMB
2. Arcos, Inc.
3. U.S. Army ISR
4. University of Maryland
5. University of Southern California
Publisher
ACM Press
Reference17 articles.
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2. Salinas, J., et al., Computerized Decision Support System Improves Fluid Resuscitation Following Severe Burns: An original study. Critical Care Medicine, 2011. 39(9): p. 2031-
3. Salinas, J., et al., Decision-assist method of resuscitation of patients. 2015, US Patent 9,061,101.
4. Ampratwum, R. T., et al. "A model of fluid resuscitation following burn injury: formulation and parameter estimation." Computer methods and programs in biomedicine 47.1 (1995): 1--19.
5. Chapple, C., et al. "A model of human microvascular exchange: parameter estimation based on normals and nephrotics." Computer methods and programs in biomedicine 41.1 (1993): 33--54.
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