Intelligent Data Analysis of Out-of-Hospital Cardiac Arrest

Authors:
Mateja Verlic;Miljenko Krizmaric;Stefek Grmec;Peter Kokol
Affiliations:
University of Maribor, Slovenia;University of Maribor, Slovenia;Centre for Emergency Medicine Maribor, Slovenia;University of Maribor, Slovenia
Venue:
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Year:
2007

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Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest

Computer Methods and Programs in Biomedicine

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Abstract

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.