DocumentCode :
2953801
Title :
Intelligent Data Analysis of Out-of-Hospital Cardiac Arrest
Author :
Verlic, Mateja ; Krizmaric, Miljenko ; Grmec, Stefek ; Kokol, Peter
Author_Institution :
Univ. of Maribor, Maribor
fYear :
2007
fDate :
20-22 June 2007
Firstpage :
109
Lastpage :
114
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.
Keywords :
cardiology; data analysis; medical administrative data processing; patient diagnosis; Maribor; OHCA prognosis; intelligent data analysis; out-of-hospital cardiac arrest; Carbon dioxide; Cardiac arrest; Cardiology; Data analysis; Decision trees; Fibrillation; Medical diagnostic imaging; Pulse measurements; Rhythm; Ventilation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on
Conference_Location :
Maribor
ISSN :
1063-7125
Print_ISBN :
0-7695-2905-4
Type :
conf
DOI :
10.1109/CBMS.2007.63
Filename :
4262635
Link To Document :
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