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Machine learning outperforms serum creatinine for early risk stratification of hepatorenal syndrome: a prospective single-center validation

Published Online: 2026-05-22

Authors

Song, Yuli

Shi, Weixiao

Yang, Chengchen

Yang, Xiaochen

Yu, Chengbo https://orcid.org/0000-0003-0766-8794
Funding

Funding for this research was provided by:

Innovative Research Group Project of the National Natural Science Foundation of China (82200673)
License Information

Text and Data Mining valid from 2026-05-22

Version of Record valid from 2026-05-22
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Article History

Received: 9 February 2026

Accepted: 1 May 2026

First Online: 22 May 2026

Declarations

:

: Yuli Song, Weixiao Shi, Chengchen Yang, Xiaochen Yang, and Chengbo Yu have no conflict of interest to disclose.

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