The paper trains six ML models on MIMIC-III to predict AKI in septic patients and reports logistic regression with 23 features reaching AUC 0.887, but circular predictors and leaky preprocessing invalidate the claim as stated.
Existing Literature Comparison Our model aims to predict acute kidney injury in septic patients
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Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database
The paper trains six ML models on MIMIC-III to predict AKI in septic patients and reports logistic regression with 23 features reaching AUC 0.887, but circular predictors and leaky preprocessing invalidate the claim as stated.