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Paper Details

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.
Surgery
1
2023
Acute kidney injury, Kidney Disease, acute kidney injury, chronic kidney disease, creatinine, patient, patients
Acute Kidney Injury, Deep Learning, Forecasting, Humans, Kidney, Logistic Models
Author NameAffiliation
Esra AdiyekeUniversity of Florida Intelligent Critical Care Center, University of Florida
Yuanfang RenUniversity of Florida Intelligent Critical Care Center, University of Florida
Yuanfang RenUniversity of Florida Intelligent Critical Care Center, University of Florida
Matthew M RuppertUniversity of Florida Intelligent Critical Care Center, University of Florida
Benjamin ShickelUniversity of Florida Intelligent Critical Care Center, University of Florida
Benjamin ShickelUniversity of Florida Intelligent Critical Care Center, University of Florida
Sandra L Kane-GillDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh
Raghavan MuruganUniversity of Pittsburgh
Parisa RashidiUniversity of Florida Intelligent Critical Care Center, University of Florida
Azra BihoracUniversity of Florida Intelligent Critical Care Center, University of Florida
Azra BihoracUniversity of Florida Intelligent Critical Care Center, University of Florida
Tezcan Ozrazgat-BaslantiUniversity of Florida Intelligent Critical Care Center, University of Florida
Tezcan Ozrazgat-BaslantiUniversity of Florida Intelligent Critical Care Center, University of Florida
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