Article

Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data

2023-09-27

Abstract excerpt

Representation bias in health data can lead to unfair decisions and compromise the generalisability of research findings. As a consequence, underrepresented subpopulations, such as those from specific ethnic backgrounds or genders, do not benefit equally from clinical discoveries. Several approaches have been developed to mitigate representation bias, ranging from simple resampling methods, such as SMOTE, to recen...

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Race, Genetics, and Society

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Literature Corpus work: 3179c0b8-0674-5be2-bd38-566bc167a774
DOI: 10.1101/2023.09.26.23296163

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