Development and external validation of a prediction model for prolonged intensive care unit stay in heart failure patients
The XGBoost model exhibited robust discrimination, calibration, and clinical utility, making it a robust tool for risk stratification of prolonged ICU stays in heart failure patients.
Authors
- Qiaohong Wang (ORCID: https://orcid.org/0000-0001-5510-8236)
- Erming Yang (ORCID: https://orcid.org/0009-0008-0255-4943)
- Linbo Li
- Xingyue He (ORCID: https://orcid.org/0000-0002-4205-212X)
- Ying Cui (ORCID: https://orcid.org/0000-0002-4534-1904)
- Hui Yang (ORCID: https://orcid.org/0009-0006-7774-0199)
Institutions
- Shanxi Medical University (CN)
- First Hospital of Shanxi Medical University (CN)
Publication Details
- Journal
- European Journal of Cardiovascular Nursing
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1093/eurjcn/zvaf075
- Citations
- 2
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.78