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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.
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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Characteristics and patients' portrayals of Norwegian social media memes. A mixed methods analysis.
Jarmund AH, Tollefsen SE, Ryssdal M, Jensen AB, Sakshaug BC, Unneland E, Solberg B, Mjølstad BP.
Jarmund AH, et al. Among authors: unneland e.
Front Med (Lausanne). 2023 Mar 16;10:1069945. doi: 10.3389/fmed.2023.1069945. eCollection 2023.
Front Med (Lausanne). 2023.
PMID: 37007794
Free PMC 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. Among authors: unneland e.
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. Among authors: unneland e.
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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