Article

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: A New Utility for Deep Reinforcement Learning

2022-06-27

Abstract excerpt

As machine learning-based models continue to be developed for healthcare applications, greater effort is needed in ensuring that these technologies do not reflect or exacerbate any unwanted or discriminatory biases that may be present in the data. In this study, we introduce a reinforcement learning framework capable of mitigating biases that may have been acquired during data collection. In particular, we evaluat...

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Literature Corpus work: d8ad5db0-9e46-56d4-9f0b-bff4cb0dfefc
DOI: 10.1101/2022.06.24.22276853

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