Article

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: Insights from Rapid COVID-19 Diagnosis by Adversarial Learning

2022-01-14

Abstract excerpt

Machine learning is becoming increasingly prominent in healthcare. Although its benefits are clear, growing attention is being given to how machine learning may exacerbate existing biases and disparities. In this study, we introduce an adversarial training framework that is capable of mitigating biases that may have been acquired through data collection or magnified during model development. For example, if one cl...

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Literature Corpus work: 1d97edd3-fc55-58c7-ba73-6e5056356dc6
DOI: 10.1101/2022.01.13.22268948

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