Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning.
- DOI
- 10.1053/j.jvca.2025.09.045
- Published
- 2026 Jan
- Container
- Journal of cardiothoracic and vascular anesthesia
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1053/j.jvca.2025.09.045,
title = {Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning.},
author = {Nezafati K and Cheruku S and Wanyan T and Yang DM and Zhou Q and Jessen ME and Neyra JA and Zhan X and Xie Y and Fox A},
year = {2026},
journal = {Journal of cardiothoracic and vascular anesthesia},
doi = {10.1053/j.jvca.2025.09.045},
url = {https://doi.org/10.1053/j.jvca.2025.09.045}
}RIS
TY - JOUR TI - Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning. AU - Nezafati K AU - Cheruku S AU - Wanyan T AU - Yang DM AU - Zhou Q AU - Jessen ME AU - Neyra JA AU - Zhan X AU - Xie Y AU - Fox A PY - 2026 JO - Journal of cardiothoracic and vascular anesthesia DO - 10.1053/j.jvca.2025.09.045 UR - https://doi.org/10.1053/j.jvca.2025.09.045 ER -
APA
K, N., S, C., T, W., DM, Y., Q, Z., ME, J., JA, N., X, Z., Y, X., & A, F. (2026). Predicting In-Hospital Acute Kidney Injury after Cardiac Surgery Using Machine Learning.. Journal of cardiothoracic and vascular anesthesia. https://doi.org/10.1053/j.jvca.2025.09.045
Source records
- pubmed · retrieved 2026-09-26T23:23:56.304Z