References

• 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2018Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas3,307 cited
• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
• 2015Certifying and Removing Disparate Impact1,827 cited
• 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
• 2018Fairness definitions explained1,125 cited
• 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
• 2012Measures of Social Deprivation That Predict Health Care Access and Need within a Rational Area of Primary Care Service Delivery688 cited
• 2022Machine-Learning-Based Disease Diagnosis: A Comprehensive Review601 cited
• 2021Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health304 cited
• 2022Real-World Evidence — Where Are We Now?221 cited
• 2018A Unified Approach to Quantifying Algorithmic Unfairness205 cited
• 2022Algorithmic fairness in computational medicine170 cited
• 2021Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression