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Science (New York, N.Y.)|July 13, 2023
Implications of predicting race variables from medical imagesJames Zou, Judy Wawira Gichoya, Daniel E Ho, et al.Nature Medicine|January 14, 2021
An algorithmic approach to reducing unexplained pain disparities in underserved populationsEmma Pierson, David M Cutler, Jure Leskovec, et al.Medical Care|April 15, 2016
Short-term Outcomes for Medicare Beneficiaries After Low-acuity Visits to Emergency Departments and ClinicsMatthew Niedzwiecki, Katherine Baicker, Michael Wilson, et al.JAMA Network Open|January 16, 2019
Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting ChemotherapyAymen A Elfiky, Maximilian J Pany, Ravi B Parikh, et al.African Journal of Emergency Medicine : Revue Africaine De La Medecine D'Urgence|November 21, 2018
Developing metrics for emergency care research in low- and middle-income countriesSamer Abujaber, Cindy Y Chang, Teri A Reynolds, et al.BMJ (Clinical Research Ed.)|February 3, 2017
Early death after discharge from emergency departments: analysis of national US insurance claims dataZiad Obermeyer, Brent Cohn, Michael Wilson, et al.Health Affairs (Project Hope)|June 10, 2015
Physician Characteristics Strongly Predict Patient Enrollment In HospiceZiad Obermeyer, Brian W Powers, Maggie Makar, et al.NPJ Digital Medicine|December 10, 2025
Potential for Algorithmic Bias in Clinical Decision Instrument DevelopmentJed Keenan Obra, Chandan Singh, Kenshata Watkins, et al.Emergency Medicine Journal : EMJ|June 24, 2016
Burden of emergency conditions and emergency care usage: new estimates from 40 countriesCindy Y Chang, Samer Abujaber, Teri A Reynolds, et al.Journal of the American Geriatrics Society|January 26, 2016
Emergency Care Use and the Medicare Hospice Benefit for Individuals with Cancer with a Poor PrognosisZiad Obermeyer, Alissa C Clarke, Maggie Makar, et al.Pageof 5