Author

Jie Min

2 papers indexed here

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Open access Jan 2026

Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury

Highlights • LASSO-LR predicts 30-day mortality in CA-AKI (AUROC = 0.751, Brier = 0.209).• LASSO-LR outperforms APACHE II (0.583) and SOFA (0.660).• SHAP and nomogram reveal oliguria and RDW as top predictors.

Meng Yuan, Lei Zhong, Jie Min et al. · Clinics · 0 citations

Aug 2026

Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.

BACKGROUND This study aims to develop and validate predictive models to assess mortality risk among patients undergoing intra-aortic balloon pump (IABP) therapy in the intensive care unit (ICU). METHOD A retrospective analysis was performed on 764 critically ill patients who received IABP therapy, using data from the...

Kai Zhang, Jie Min, Lei Zhong et al. · Heart, Lung and Circulation · 0 citations