Girish N Nadkarni

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

Multi-Institutional Implementation of Clinical Decision Support for APOL1, NAT2, and YEATS4 Genotyping in Antihypertensive Management

Allison B McCoy, Carol R Horowitz, Lori A Orlando, 2021, Journal of personalized medicine.

Big data in nephrology: promises and pitfalls.

Girish N Nadkarni, Steven G Coca, G. Nadkarni, 2016, Kidney international.

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Peter Kotanko, Girish N Nadkarni, Alex Federman, 2019, Kidney international.

Advanced glycation end products dietary restriction effects on bacterial gut microbiota in peritoneal dialysis patients; a randomized open label controlled trial

Wei Zheng, Sham Abyad, Rabi Yacoub, 2017, PloS one.

Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, medRxiv.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Joseph Finkelstein, Riccardo Miotto, Kipp W. Johnson, 2020, Journal of medical Internet research.

Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, Journal of cardiovascular pharmacology and therapeutics.