A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children.
Jillian K WarejkoYu YamamotoAditya BiswasMiguel A VazquezUgochukwu UgwuowoMichael SimonovIshan SaranMelissa MartinJeffrey M TestaniSherry MansourDennis G MoledinaJason H GreenbergFrancis Perry WilsonPublished in: Journal of the American Society of Nephrology : JASN (2020)
Using various machine learning algorithms, we identified and validated a time-updated prediction model of ten readily available electronic health record variables to accurately predict imminent AKI in hospitalized children.