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A machine-learning method for predicting the 1-year risk of death in maintenance hemodialysis patients based on continuous compliance with dialysis quality indicators

Crossref DOI link: https://doi.org/10.1186/s12882-025-04488-3

Published Online: 2025-10-15

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

Authors

Dong, Jianhua

Zhang, Mingwei

Yang, Xi

Li, Chuan

Wu, Bian

Ge, Yongchun
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Text and Data Mining valid from 2025-10-15

Version of Record valid from 2025-10-15
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Article History

Received: 10 March 2025

Accepted: 12 September 2025

First Online: 15 October 2025

Declarations

:

: This study protocol was reviewed and approved by the Ethics Committee of Jinling Hospital (2022DZKY-077-01). The study has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.

: As the present study was an observational and historical but not a prospective interventional study, the ethics committee waived the need for direct informed consent.

: The authors declare no competing interests.

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