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Open access Aug 2026

Prediction of severe sepsis-associated acute kidney injury incorporating immune-inflammatory profiles: development and validation of a machine learning model in a multicenter prospective cohort study

An interpretable random forest model incorporating immune-inflammatory profiles accurately predicted progression to severe SA-AKI in critically ill patients with sepsis and may offer an effective and practical strategy for early risk stratification.

Xiaoxia Guo, Fei Li, Chang Xu et al. · 0 citations

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