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System for Predicting Neurological Outcomes Following Cardiac Arrest Based on Clinical Predictors Using a Machine Learning Method: The Neurological Outcomes After Cardiac Arrest Method

Crossref DOI link: https://doi.org/10.1007/s12028-025-02222-3

Published Online: 2025-02-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Tae Jung https://orcid.org/0000-0003-3616-5627
Suh, Jungyo https://orcid.org/0000-0002-3867-4778
Park, Soo-Hyun https://orcid.org/0000-0003-1626-3940
Kim, Youngjoon https://orcid.org/0000-0003-3520-5084
Ko, Sang-Bae https://orcid.org/0000-0002-9429-9597
Funding

Funding for this research was provided by:

Seoul National University Hospital (0320210350)
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Text and Data Mining valid from 2025-02-20

Version of Record valid from 2025-02-20
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Article History

Received: 17 September 2024

Accepted: 21 January 2025

First Online: 20 February 2025

Conflicts of Interest

: The authors declare that they have no conflict of interest.

: This study was approved by Institutional Review Board of Seoul National University Hospital (IRB number: H-2307-154-1452). The informed consent was waived by the IRB owing to the retrospective design of the study. This study was conducted according to the Declaration of Helsinki and its guidelines.

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