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Shuai Zhang

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Open access Sep 2026

An interpretable machine learning model for early prediction of subsequent observed CRRT initiation in patients with sepsis-associated acute kidney injury

We developed and externally validated an interpretable machine-learning model for observed continuous renal replacement therapy (CRRT) initiation in sepsis-associated acute kidney injury (SA-AKI) using a strict 24-hour landmark framework. This multicenter retrospective study used MIMIC-IV and eICU-CRD data. Predictors...

Yao-Yao Tang, Shuai Zhang, Qiu-Jun Wang et al. · 0 citations

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