Development and preliminary validation of an explainable machine learning model for early ROSC detection during chest compression in a swine model of cardiac arrest.
- DOI
- 10.1016/j.resplu.2026.101362
- Published
- 2026 May
- Container
- Resuscitation plus
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.resplu.2026.101362,
title = {Development and preliminary validation of an explainable machine learning model for early ROSC detection during chest compression in a swine model of cardiac arrest.},
author = {Yang J and Shi J and Tang H and Jin X and Zhang F and Mei X and Hao W and Wu R and Li Y and Zhu H and Xu S and Xu J},
year = {2026},
journal = {Resuscitation plus},
doi = {10.1016/j.resplu.2026.101362},
url = {https://doi.org/10.1016/j.resplu.2026.101362}
}RIS
TY - JOUR TI - Development and preliminary validation of an explainable machine learning model for early ROSC detection during chest compression in a swine model of cardiac arrest. AU - Yang J AU - Shi J AU - Tang H AU - Jin X AU - Zhang F AU - Mei X AU - Hao W AU - Wu R AU - Li Y AU - Zhu H AU - Xu S AU - Xu J PY - 2026 JO - Resuscitation plus DO - 10.1016/j.resplu.2026.101362 UR - https://doi.org/10.1016/j.resplu.2026.101362 ER -
APA
J, Y., J, S., H, T., X, J., F, Z., X, M., W, H., R, W., Y, L., H, Z., S, X., & J, X. (2026). Development and preliminary validation of an explainable machine learning model for early ROSC detection during chest compression in a swine model of cardiac arrest.. Resuscitation plus. https://doi.org/10.1016/j.resplu.2026.101362
Source records
- pubmed · retrieved 2026-09-26T15:55:52.636Z