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Identifying and mitigating algorithmic bias in the safety net
16 references·0 citing·42 second hop
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2023Receiver operating characteristic curve analysis in diagnostic accuracy studies810 cited
  • 2023Algorithmic fairness in artificial intelligence for medicine and healthcare747 cited
  • 2022Race, Racism, and Cardiovascular Health: Applying a Social Determinants of Health Framework to Racial/Ethnic Disparities in Cardiovascular Disease548 cited
  • 2019Artificial intelligence and algorithmic bias: implications for health systems532 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
  • 2022A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health263 cited
  • 2022Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review186 cited
  • 2022Algorithmic fairness in computational medicine170 cited
  • 2024Trust in Physicians and Hospitals During the COVID-19 Pandemic in a 50-State Survey of US Adults165 cited
  • 2023AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications155 cited
  • 2019

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Bias Mitigation Post-processing for Individual and Group Fairness
135 cited
  • 2020Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy97 cited
  • 2023A translational perspective towards clinical AI fairness81 cited
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