@InProceedings{Supelec720,
author = {Sarah MENETRE and Jean-Pierre Didon and Olivier Pietquin and Christian De Chillou and Jacques Felblinger},
title = {Within-Patient Correlation Influence on Defibrillation Outcome Prediction using a Bayesian Classifier},
year = {2011},
booktitle = {Proceedings of the 38th Annual Scientific Conference of Computing in Cardiology (CinC 2011)},
month = {September},
address = {Hangzhou (China)},
url = {http://www.cinc.org/2011/preprints/129.pdf},
abstract = {In Out of Hospital Cardiac Arrest (OHCA), information is needed regarding the duration of the untreated Ventricular Fibrillation (VF). The non-invasive measurement of VF parameters allows prediction of a successful defibrillation in order to prioritize interventions: chest compression or defi- brillation first. In this study, we evaluated the ability of a given outcome predicton model to discriminate “Success” versus “No success” at 5 s after shock. }
}