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Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest.
Resusc Plus. 2024 Mar 8;17:100598. doi: 10.1016/j.resplu.2024.100598. eCollection 2024 Mar.
Resusc Plus. 2024.
PMID: 38497047
Free PMC article.
Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation.
Unneland E, Norvik A, Bergum D, Buckler DG, Bhardwaj A, Christian Eftestøl T, Aramendi E, Nordseth T, Abella BS, Terje Kvaløy J, Skogvoll E.
Unneland E, et al. Among authors: norvik a.
Resuscitation. 2023 Oct;191:109895. doi: 10.1016/j.resuscitation.2023.109895. Epub 2023 Jul 3.
Resuscitation. 2023.
PMID: 37406761
Free article.
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Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity.
Norvik A, Kvaløy JT, Skjeflo GW, Bergum D, Nordseth T, Loennechen JP, Unneland E, Buckler DG, Bhardwaj A, Eftestøl T, Aramendi E, Abella BS, Skogvoll E.
Norvik A, et al.
Resuscitation. 2023 Apr;185:109739. doi: 10.1016/j.resuscitation.2023.109739. Epub 2023 Feb 16.
Resuscitation. 2023.
PMID: 36806651
Free article.
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Pulseless electrical activity in in-hospital cardiac arrest - A crossroad for decisions.
Norvik A, Unneland E, Bergum D, Buckler DG, Bhardwaj A, Eftestøl T, Aramendi E, Nordseth T, Abella BS, Kvaløy JT, Skogvoll E.
Norvik A, et al.
Resuscitation. 2022 Jul;176:117-124. doi: 10.1016/j.resuscitation.2022.04.024. Epub 2022 Apr 28.
Resuscitation. 2022.
PMID: 35490937
Free article.
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