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Fair regression for health care spending
16 references·11 citing·29 second hop
Fair regression for health care spending (2019)Fair regression for health care spendingInherent Tradeoffs in the Fair Determination of Risk Scores (2023)Inherent Tradeoffs in the Fai…Weapons of math destruction (2018)Weapons of math destructionThe Measure and Mismeasure of Fairness (2018)The Measure and Mismeasure of…The Frontiers of Fairness in Machine Learning (2018)The Frontiers of Fairness in …Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Algorithmic Fairness (2018)Algorithmic FairnessFairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…A Convex Framework for Fair Regression (2017)A Convex Framework for Fair R…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Learning Fair Representations (2013)Learning Fair RepresentationsFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Classifying without discriminating (2009)Classifying without discrimin…Risk adjustment of Medicare capitation payments using the CMS-HCC model. (2004)Risk adjustment of Medicare c…Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models (2024)Assessing racial bias in heal…Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms (2023)Equal accuracy for Andrew and…Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare (2022)Net benefit, calibration, thr…Application of fairness to healthcare, organizational justice, and finance: A survey (2022)Application of fairness to he…A review of causality-based fairness machine learning (2022)A review of causality-based f…Reproducibility in machine learning for health research: Still a ways to go (2021)Reproducibility in machine le…Fairness Violations and Mitigation under Covariate Shift (2021)Fairness Violations and Mitig…Ethical Machine Learning in Healthcare (2021)Ethical Machine Learning in H…Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems (2020)Achieving Outcome Fairness in…Reproducibility in Machine Learning for Health (2019)Reproducibility in Machine Le…Counterfactual Reasoning for Fair Clinical Risk Prediction (2019)Counterfactual Reasoning for …Three naive Bayes approaches for discrimination-free classification (2010)The Filter Bubble: What the Internet Is Hiding from You (2011)Fairness through awareness (2012)Certifying and Removing Disparate Impact (2015)Fairness and Abstraction in Sociotechnical Systems (2019)A Survey on Bias and Fairness in Machine Learning (2021)Discrimination-aware data mining (2008)Semantics derived automatically from language corpora contain human-like biases (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Big Data's Disparate Impact (2014)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)The Economics of Discrimination. (1972)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Health Care Disparities (2003)CRITICAL QUESTIONS FOR BIG DATA (2012)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)Regional Variations in Diagnostic Practices (2010)Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization (2014)Sources of Geographic Variation in Health Care: Evidence From Patient Migration* (2016)Algorithmic Bias in Education (2021)On the Opportunities and Risks of Foundation Models (2021)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Algorithmic Decision Making and the Cost of Fairness (2017)
this work references cited by second hop

References

  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2013Learning Fair Representations1,155 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art1,031 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact988 cited
  • 2004Risk adjustment of Medicare capitation payments using the CMS-HCC model.805 cited
  • 2018The Measure and Mismeasure of Fairness778 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2018Weapons of math destruction513 cited
  • 2009Classifying without discriminating407 cited
  • 2018The Frontiers of Fairness in Machine Learning372 cited
  • 2023Inherent Tradeoffs in the Fair Determination of Risk Scores347 cited
  • 2018Algorithmic Fairness278 cited
  • 2017

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A Convex Framework for Fair Regression
198 cited

Cited by

  • 2021Ethical Machine Learning in Healthcare670 cited
  • 2021Reproducibility in machine learning for health research: Still a ways to go317 cited
  • 2021Fairness Violations and Mitigation under Covariate Shift49 cited
  • 2019Reproducibility in Machine Learning for Health34 cited
  • 2022Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare30 cited
  • 2019Counterfactual Reasoning for Fair Clinical Risk Prediction30 cited
  • 2022A review of causality-based fairness machine learning24 cited
  • 2020Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems22 cited
  • 2023Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms19 cited
  • 2024Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models14 cited
  • 2022Application of fairness to healthcare, organizational justice, and finance: A survey12 cited