Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach
RF is the optimal model for predicting the risk of ICU death in CA patients. The development of this model is important for early identification and intervention of CA patients who are at risk of dying in the ICU.
Authors
- Yong Li (ORCID: https://orcid.org/0000-0002-8910-9787)
- Chengli Wen (ORCID: https://orcid.org/0000-0001-8956-8898)
- Xian Jiang (ORCID: https://orcid.org/0000-0001-5109-6055)
- Ying Liu (ORCID: https://orcid.org/0000-0001-9075-2385)
- Qing Zhang (ORCID: https://orcid.org/0000-0002-7504-0555)
- Hongwei Zhu (ORCID: https://orcid.org/0000-0002-6530-3462)
Institutions
- Southwest Medical University (CN)
- Affiliated Hospital of Southwest Medical University (CN)
- Qingzhou City People's Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s40001-025-02588-2
- Citations
- 1
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 2.25
Funders
- Southwest Medical University