Crossmark

Explainable machine learning for neurological outcome prediction in out-of-hospital cardiac arrest survivors undergoing targeted temperature management: a multi-cohort validation study

Crossref DOI link: https://doi.org/10.1186/s12984-025-01821-7

Published Online: 2025-12-01

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

Authors

Bamodu, Oluwaseun Adebayo

Goh, Yu-Xin

Hong, Chien-Tai

Chen, Po-Chih

Chiu, Wei-Ting

Chan, Lung

Chung, Chen-Chih
Funding

Funding for this research was provided by:

National Science and Technology Council (NSTC 111-2314-B-038-132-MY3)

Taipei Medical University-Shuang Ho Hospital, Ministry of Health and Welfare (113FRP-14)
License Information

Text and Data Mining valid from 2025-12-01

Version of Record valid from 2026-01-05
More Information

Article History

Received: 12 May 2025

Accepted: 23 November 2025

First Online: 1 December 2025

Declarations

:

: The study protocol was approved by the Joint Institutional Review Board of Taipei Medical University (TMU-JIRB Approval No. N201711046 and N202407025). The requirement for informed consent was waived due to the retrospective study design and the use of de-identified data. Data from the Korean Hypothermia Network prospective (KORHN-pro) registry were obtained from publicly available sources and used in accordance with its data-sharing policies. All study procedures adhered to relevant ethical guidelines and regulations, including the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below