Using Machine Learning to Predict Acute Kidney Injury After Aortic Arch Surgery
Machine learning methods were found to predict AKI after aortic arch surgery significantly better than traditional logistic regression.
World's Largest Resource for Cardiovascular Perfusion
Machine learning methods were found to predict AKI after aortic arch surgery significantly better than traditional logistic regression.
Model DynaLab’ improves early detection of CSA-AKI within 12 h after surgery. This simple Cr-based framework poses a fundament for further endeavours towards reduction of CSA-AKI incidence and severity.
Previous observations suggest that intraoperative blood transfusion (IBT) is a risk factor for adverse postoperative outcomes. IBT alters immune function and may predispose to systemic inflammatory response syndrome (SIRS).