Machine learning prediction of refractory ventricular fibrillation in out-of-hospital cardiac arrest using features available to EMS-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning prediction of refractory ventricular fibrillation in out-of-hospital cardiac arrest using features available to EMS

Published:2024-06 Issue: Volume:18 Page:100606
ISSN:2666-5204
Container-title:Resuscitation Plus
language:en
Short-container-title:Resuscitation Plus

Author:

Rahadian Rayhan Erlangga,Okada Yohei^ORCID,Shahidah Nur,Hong Dehan,Ng Yih Yng,Chia Michael Y.C.,Gan Han Nee,Leong Benjamin S.H.,Mao Desmond R.,Ng Wei Ming,Doctor Nausheen Edwin,Ong Marcus Eng Hock

Funder

ZOLL Foundation

National Medical Research Council

Government of Singapore Ministry of Health

Publisher

Elsevier BV

Reference34 articles.

1. Long term survival and disease burden from out-of-hospital cardiac arrest in Singapore: a population-based cohort study;Ho;Lancet Reg Health West Pac,2023

2. Prognostic implications of conversion from nonshockable to shockable rhythms in out-of-hospital cardiac arrest;Goto;Crit Care,2014

3. Refractory out of hospital cardiac arrest;Shanmugasundaram;Curr Cardiol Rev,2018

4. Surviving refractory out-of-hospital ventricular fibrillation cardiac arrest: Critical care and extracorporeal membrane oxygenation management;Bartos;Resuscitation,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP