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Predicting complications after laparoscopic surgery for ureteropelvic junction obstruction using machine learning models: a retrospective cohort study

Crossref DOI link: https://doi.org/10.1007/s00345-025-05552-1

Published Online: 2025-03-18

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

Authors

Zhang, Xintao

Sun, Dong

Zhou, Yu

Xu, Qiongqian

Ren, Xue

Han, Jichang

Ma, Chuncan

Ma, Guohua

Sun, Zhihao

Jia, Yu

Zhou, Zhihang

Liu, Xiaoyang

Zhang, Qiangye

Li, Aiwu https://orcid.org/0000-0002-1069-2026
Funding

Funding for this research was provided by:

Natural Science Foundation of Shandong Province (ZR2021MH210)

Qilu Medical Development Fund of Shandong University (34641390220001)
License Information

Text and Data Mining valid from 2025-03-18

Version of Record valid from 2025-03-18
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Article History

Received: 9 November 2024

Accepted: 4 March 2025

First Online: 18 March 2025

Declarations

:

: The authors declare no competing interests.

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