The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model*

Abstract

Readily available electronic health record data can be used to predict impending acute kidney injury prior to changes in serum creatinine with excellent accuracy across different patient locations and admission serum creatinine. Real-time use of this model would allow early interventions for those at high risk of acute kidney injury.