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Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis

Crossref DOI link: https://doi.org/10.1186/s40001-026-03930-y

Published Online: 2026-02-02

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

Authors

Chen, Xuan

Liu, Boying

Wang, Gefei
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Text and Data Mining valid from 2026-02-02

Version of Record valid from 2026-02-05
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Article History

Received: 16 September 2025

Accepted: 15 January 2026

First Online: 2 February 2026

Declarations

:

: The studies involving MIMIC-IV database were reviewed and approved by the Institutional Review Board of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center. The studies involving eICU–CRD were reviewed and approved by the Institutional Review Board of the Massachusetts Institute of Technology and the corresponding medical centers. Written informed consent for participation was not required for this study, because the personal information of the participants has been encrypted.

: The authors declare no competing interests.

: The authors declare that the creation of this manuscript did not involve any Gen AI.

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