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Advances in Kidney Disease and Health|February 1, 2023
Federated Learning in Health care Using Structured Medical DataWonsuk Oh, Girish N Nadkarni
BMC Nephrology|December 20, 2023
Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4Kullaya Takkavatakarn, Wonsuk Oh, Ella Cheng, et al.
Artificial Intelligence in Medicine|February 7, 2024
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, et al.
Critical Care (London, England)|May 10, 2024
Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsisKullaya Takkavatakarn, Wonsuk Oh, Lili Chan, et al.
Journal of the American Medical Informatics Association : JAMIA|January 29, 2022
Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unitWonsuk Oh, Pushkala Jayaraman, Ashwin S Sawant, et al.
The Yale Journal of Biology and Medicine|October 2, 2023
Clinical Informatics in Critical Care MedicineGirish N Nadkarni, Ankit Sakhuja
Advances in Nutrition (Bethesda, Md.)|January 16, 2014
Phosphorus and the kidney: What is known and what is neededGirish N Nadkarni, Jaime Uribarri
Cardiology Clinics|July 8, 2019
Apolipoprotein L1, Cardiovascular Disease and Hypertension: More Questions than AnswersNiralee Patel, Girish N Nadkarni
Advances in Chronic Kidney Disease|March 17, 2016
Genomics in CKD: Is This the Path Forward?Girish N Nadkarni, Carol R Horowitz
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