Machine learning-based prediction of postoperative continuous renal replacement therapy initiation after open thoracoabdominal aortic repair.
- DOI
- 10.1186/s12882-026-05234-z
- Published
- 2026 Jul 28
- Container
- BMC nephrology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12882-026-05234-z,
title = {Machine learning-based prediction of postoperative continuous renal replacement therapy initiation after open thoracoabdominal aortic repair.},
author = {Xu K and Liu J and Ji Y and Song J and Gao S and Zhou C and Qiu J and Yu C},
year = {2026},
journal = {BMC nephrology},
doi = {10.1186/s12882-026-05234-z},
url = {https://doi.org/10.1186/s12882-026-05234-z}
}RIS
TY - JOUR TI - Machine learning-based prediction of postoperative continuous renal replacement therapy initiation after open thoracoabdominal aortic repair. AU - Xu K AU - Liu J AU - Ji Y AU - Song J AU - Gao S AU - Zhou C AU - Qiu J AU - Yu C PY - 2026 JO - BMC nephrology DO - 10.1186/s12882-026-05234-z UR - https://doi.org/10.1186/s12882-026-05234-z ER -
APA
K, X., J, L., Y, J., J, S., S, G., C, Z., J, Q., & C, Y. (2026). Machine learning-based prediction of postoperative continuous renal replacement therapy initiation after open thoracoabdominal aortic repair.. BMC nephrology. https://doi.org/10.1186/s12882-026-05234-z
Source records
- pubmed · retrieved 2026-09-26T16:17:48.109Z