Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

Abstract

The results of these experiments suggest that a machine learning-based AKI prediction tool may offer important prognostic capabilities for determining which patients are likely to suffer AKI, potentially allowing clinicians to intervene before kidney damage manifests.