Explainable machine learning for predicting 28-day mortality in ICU patients with stroke complicated by chronic kidney disease
- DOI
- 10.1186/s12911-026-03754-0
- Published
- 2026-08-11
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03754-0,
title = {Explainable machine learning for predicting 28-day mortality in ICU patients with stroke complicated by chronic kidney disease},
author = {Dewei Du and Amu Jike and Xiaoxia Liu},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03754-0},
url = {https://doi.org/10.1186/s12911-026-03754-0}
}RIS
TY - JOUR TI - Explainable machine learning for predicting 28-day mortality in ICU patients with stroke complicated by chronic kidney disease AU - Dewei Du AU - Amu Jike AU - Xiaoxia Liu PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03754-0 UR - https://doi.org/10.1186/s12911-026-03754-0 ER -
APA
Du, D., Jike, A., & Liu, X. (2026). Explainable machine learning for predicting 28-day mortality in ICU patients with stroke complicated by chronic kidney disease. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03754-0
Source records
- crossref · retrieved 2026-11-10T02:42:12.294Z