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November 28, 2025Clinical Kidney JournalOpen Access

Prediction of Hospital Mortality in Sepsis-Associated Acute Kidney Injury using a Machine-Learning Approach: A Multi-Center Study Using SHAP Interpretability Analysis

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Authors

JLJiawei LaiLMLujiao MoXSXiaoyuan Shen

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Cite This Study

Lai et al. (2025) studied this question.

synapsesocial.com/papers/69402fe22d562116f290511chttps://doi.org/10.1093/ckj/sfaf372
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An interpretable machine-learning model for predicting in-hospital mortality in patients with sepsis-associated acute kidney injury2026 · 1 citations
  2. 2Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data2026
  3. 3Stage prediction of acute kidney injury in sepsis patients using explainable machine learning approaches2025
  4. 4Development and validation of a machine-learning model for predicting the risk of death in sepsis patients with acute kidney injury2024 · 18 citations
  5. 5Development of interpretable machine learning models for early diagnosis of sepsis-associated acute kidney injury2026