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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.


  • Associate Professor of Medicine (Nephrology) and Public Health (Chronic Disease Epidemiology); Director, Clinical and Translational Research Accelerator (CTRA); Course Director, Interpretation of the Medical Literature; Co Director, Human Genetics and Clinical Research Core


Aditya Biswas
Research Assistant, 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

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