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Development and validation of interpretable machine learning models to predict distant metastasis and prognosis of muscle-invasive bladder cancer patients

Crossref DOI link: https://doi.org/10.1038/s41598-025-96089-1

Published Online: 2025-04-06

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

Authors

Deng, Qian

Li, Shan

Zhang, Yuxiang

Jia, Yuanyuan

Yang, Yanhui
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Text and Data Mining valid from 2025-04-06

Version of Record valid from 2025-04-06
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Article History

Received: 4 November 2024

Accepted: 26 March 2025

First Online: 6 April 2025

Declarations

:

: The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of The First Affiliated Hospital of Henan University of Science and Technology (protocol code: 2024-03-K0144, approved on 2024-03-20).

: The authors declare no competing interests.

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