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Development and validation of a multidimensional machine learning model for predicting delayed graft function in deceased donor kidney transplantation

Crossref DOI link: https://doi.org/10.1007/s11255-026-05353-4

Published Online: 2026-08-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Guozhen

Ding, Chenguang

Xue, Wujun
Funding

Funding for this research was provided by:

the Shaanxi Key R&D Program (S2024-YF-YBSF-1371)
License Information

Text and Data Mining valid from 2026-08-24

Version of Record valid from 2026-08-24
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Article History

Received: 9 April 2026

Accepted: 19 August 2026

First Online: 24 August 2026

Declarations

Conflict of interest: The authors declare no conflicts of interest.

Research involving human participants: This retrospective study was approved by the Institutional Review Board of The First Affiliated Hospital of Xi’an Jiaotong University (Approval Number: XJTU1AF2024LSYY-347) and conducted in accordance with the Declaration of Helsinki.

Informed consent: Informed consent was obtained from all participants (or their legal guardians) prior to their inclusion in the study.

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