Article

Deep transfer learning for reducing health care disparities arising from biomedical data inequality

2020-01-14

Abstract excerpt

As artificial intelligence (AI) is increasingly applied to biomedical research and clinical decisions, developing unbiased AI models that work equally well for all racial and ethnic groups is of crucial importance to health disparity prevention and reduction. However, the biomedical data inequality between different racial and ethnic groups is set to generate new health care disparities through data-driven, algori...

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Literature Corpus work: fd1982a4-7b9e-59ca-b379-fb6f473de2b8
DOI: 10.1101/2020.01.11.902957

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