Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure.
- DOI
- 10.3389/fcvm.2026.1942393
- Published
- 2026
- Container
- Frontiers in cardiovascular medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fcvm.2026.1942393,
title = {Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure.},
author = {Xu L and Cao W and Huang Z and Lu K and Fang Y and Zhang J and Zhang P and Feng T},
year = {2026},
journal = {Frontiers in cardiovascular medicine},
doi = {10.3389/fcvm.2026.1942393},
url = {https://doi.org/10.3389/fcvm.2026.1942393}
}RIS
TY - JOUR TI - Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure. AU - Xu L AU - Cao W AU - Huang Z AU - Lu K AU - Fang Y AU - Zhang J AU - Zhang P AU - Feng T PY - 2026 JO - Frontiers in cardiovascular medicine DO - 10.3389/fcvm.2026.1942393 UR - https://doi.org/10.3389/fcvm.2026.1942393 ER -
APA
L, X., W, C., Z, H., K, L., Y, F., J, Z., P, Z., & T, F. (2026). Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure.. Frontiers in cardiovascular medicine. https://doi.org/10.3389/fcvm.2026.1942393
Source records
- pubmed · retrieved 2026-09-25T19:22:11.020Z