Improving emergency call detection of Out-of-Hospital Cardiac Arrests in the Greater Paris area: Efficiency of a global system with a new method of detection-Reference-Cited by-同舟云学术

Improving emergency call detection of Out-of-Hospital Cardiac Arrests in the Greater Paris area: Efficiency of a global system with a new method of detection

Published:2020-01 Issue: Volume:146 Page:34-42
ISSN:0300-9572
Container-title:Resuscitation
language:en
Short-container-title:Resuscitation

Author:

Derkenne Clément^ORCID,Jost Daniel^ORCID,Thabouillot Oscar,Briche Frédérique,Travers Stéphane,Frattini Benoit,Lesaffre Xavier,Kedzierewicz Romain^ORCID,Roquet Florian,de Charry Félicité,Prunet Bertrand

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Emergency Nursing,Emergency Medicine

Reference39 articles.

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4. Out-of-hospital cardiac arrest phone detection: those who most need chest compressions are the most difficult to recognize;Travers;Resuscitation,2014

5. French Red Cross, International Red cross and Red Crescent Movement. Premiers secours pour une Europe plus sure. (Accessed 7 August 2019 at https://www.cri.it/flex/cm/pages/ServeAttachment.php/L/IT/D/D.13e0ba9465916db5d140/P/BLOB%3AID%3D2232/E/pdf).

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1. Optimising telecommunicator recognition of out-of-hospital cardiac arrest: A scoping review;Resuscitation Plus;2024-12

2. Cardiopulmonary Resuscitation: Clinical Updates and Perspectives;Journal of Clinical Medicine;2024-05-06

3. Trends in survival from out-of-hospital cardiac arrest with a shockable rhythm and its association with bystander resuscitation: a retrospective study;Emergency Medicine Journal;2023-08-27

4. Interaction between bystander sex and patient sex in bystander cardiopulmonary resuscitation for Out-of-Hospital cardiac arrests;Resuscitation;2023-06

5. When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model;Resuscitation;2023-02