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Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest

Crossref DOI link: https://doi.org/10.1016/j.resplu.2024.100598

Published Print: 2024-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Urteaga, Jon https://orcid.org/0000-0002-2855-1344
Elola, Andoni

Norvik, Anders

Unneland, Eirik

Eftestøl, Trygve C.

Bhardwaj, Abhishek

Buckler, David

Abella, Benjamin S.

Skogvoll, Eirik

Aramendi, Elisabete https://orcid.org/0000-0002-6409-1429
Funding

Funding for this research was provided by:

University of the Basque Country

Edge Hill University (COLAB20/01)

Eusko Jaurlaritza (IT1717-22)

Eusko Jaurlaritza (PRE2021_2_0173)

European Regional Development Fund (PID2021-122727OB-I00)
License Information

Text and Data Mining valid from 2024-03-01

Text and Data Mining valid from 2024-03-01

Version of Record valid from 2024-02-22
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This article is maintained by: Elsevier

Article Title: Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest

Journal Title: Resuscitation Plus

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.resplu.2024.100598

Content Type: article

Copyright: © 2024 The Author(s). Published by Elsevier B.V.