Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest
Author:
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine,Neurology (clinical)
Link
https://link.springer.com/content/pdf/10.1007/s12028-021-01405-y.pdf
Reference20 articles.
1. Dragancea I, et al. The influence of induced hypothermia and delayed prognostication on the mode of death after cardiac arrest. Resuscitation. 2013;84(3):337–42.
2. Mulder M, et al. Awakening and withdrawal of life-sustaining treatment in cardiac arrest survivors treated with therapeutic hypothermia*. Crit Care Med. 2014;42(12):2493–9.
3. Dragancea I, et al. Protocol-driven neurological prognostication and withdrawal of life-sustaining therapy after cardiac arrest and targeted temperature management. Resuscitation. 2017;117:50–7.
4. Coute RA, et al. Disability-adjusted life years following adult out-of-hospital cardiac arrest in the United States. Circ Cardiovasc Qual Outcomes. 2019;12(3):e004677.
5. Geocadin RG, et al. Standards for studies of neurological prognostication in comatose survivors of cardiac arrest: a scientific statement from the American Heart Association. Circulation. 2019;140(9):517–42.
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