Learning Alerts for Acute Kidney Injury (ELAIA-3)

This trial will use an advanced machine-learning technique known as uplift modeling to target AKI alerts to a subset of patients who are most likely to be benefited by reducing alert fatigue and improving overall effectiveness.
Bio Profile

Francis Perry Wilson, MD, MS

Assistant Professor of Medicine (Nephrology)

Interim Director, Program of Applied Translational Research

View Full Profile

Aditya Biswas
Research Assistant, Yale University

Boian Etropolski
Data Scientist, Yale University

Harold Feldman, MD, MSCE
George S. Pepper Professor of Public Health and Preventative Medicine, Yale University

Amit Garg, MD, PhD
Professor of Medicine (Nephrology), Western University, London, Ontario, Canada

Stephen Latham, JD, PhD
Director, Interdisciplinary Center for Bioethics, Yale University 

Haiqun Lin, MD, PhD
Associate Professor of Biostatistics, School of Public Health, Yale University

Melissa Martin
Research Associate, Yale University

Paul M. Palevsky, MD
Professor of Medicine, Renal-Electrolyte Division, University of Pittsburgh 

Chirag R. Parikh, MD, PhD
Adjunct Professor of Medicine, Yale University 

Yu Yamamoto
Statistician, Yale University