Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study
Author:
Funder
Sykehuset Østfold
Laerdal Foundation for Acute Medicine
Hjärt-Lungfonden
ALF agreement
Vetenskapsrådet
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine,Emergency Medicine
Link
http://link.springer.com/content/pdf/10.1186/s13049-020-00742-9.pdf
Reference36 articles.
1. The Swedish Cardiopulmonary Resuscitation Register. https://www.hlr.nu/svenska-hlr-registret/ .
2. Chan PS, et al. Recent trends in survival from out-of-hospital cardiac arrest in the United States. Circulation. 2014;130(21):1876–82.
3. Bougouin W, et al. Gender and survival after sudden cardiac arrest: a systematic review and meta-analysis. Resuscitation. 2015;94:55–60.
4. Fukuda T, et al. Trends in outcomes for out-of-hospital cardiac arrest by age in Japan: an observational study. Medicine (Baltimore). 2015;94(49):e2049.
5. Granfeldt A, et al. Location of cardiac arrest and impact of pre-arrest chronic disease and medication use on survival. Resuscitation. 2017;114:113–20.
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