Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Intelligent Data Analysis of Out-of-Hospital Cardiac Arrest Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.63
The rate of survival for the out-of-hospital cardiac arrest (OHCA) is not encouraging. Quick and quality prognosis affects the OHCA outcome. Identification of important factors in prognosis can improve the survival rate. Intelligent data analysis of data obtained in a 4 year study of OHCA outcome in Maribor shows that arrival time of emergency medical team, witnessed arrest, bystander cardiopulmonary resuscitation and especially end-expired CO2 are of great importance for the OHCA outcome.
Citation:
Mateja Verlic, Miljenko Krizmaric, Stefek Grmec, Peter Kokol, "Intelligent Data Analysis of Out-of-Hospital Cardiac Arrest," cbms, pp.109-114, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||