An adversarial training framework for mitigating algorithmic biases in clinical machine learning

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

<p>Machine learning is becoming increasingly prominent in healthcare. Although its benefits are clear, growing attention is being given to how these tools may exacerbate existing biases and disparities. In this study, we introduce an adversarial training framework that is capable of mitigating...

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Dades bibliogràfiques
Autors principals:	Yang, J, Soltan, AAS, Eyre, DW, Yang, Y, Clifton, DA
Format:	Journal article
Idioma:	English
Publicat:	Springer Nature 2023

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