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Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

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References

2012Fairness through awareness3,501 cited
2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
2019Can AI Help Reduce Disparities in General Medical and Mental Health Care?399 cited
2014Bias in research294 cited
2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations282 cited
2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
2013Bias in research213 cited
2023An adversarial training framework for mitigating algorithmic biases in clinical machine learning159 cited

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2021The Fairness of Credit Scoring Models26 cited
2024

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Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review

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