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Paper Details

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.
Nat Commun
42
2020
AKI, acute kidney injury
Acute Kidney Injury, Adolescent, Adult, Aged, Artificial Intelligence, Female, Humans, Machine Learning, Male, Middle Aged, ROC Curve, Risk Assessment, Risk Factors, Young Adult
Author NameAffiliation
Xing SongUniversity of Kansas Medical Center
Alan S L YuDivision of Nephrology and Hypertension and the Kidney Institute, University of Kansas Medical Center
John A KellumCenter for Critical Care Nephrology, University of Pittsburgh School of Medicine
Lemuel R WaitmanUniversity of Kansas Medical Center
Michael MathenyVanderbilt University School of Medicine
Michael E MathenyGeriatrics Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Michael E MathenyVanderbilt University School of Medicine
Michael MathenyGeriatrics Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA
Steven Q SimpsonUniversity of Kansas Medical Center
Yong HuBig Data Decision Institute, Jinan University
Mei LiuUniversity of Kansas Medical Center
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