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Deep transfer learning for reducing health care disparities arising from biomedical data inequality
As artificial intelligence (AI) is increasingly applied to biomedical research and clinical decisions, developing unbiased AI models that work equally well for all ethnic groups is of crucial importance to health disparity prevention and reduction. However, the biomedical data inequality between dif...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552387/ https://www.ncbi.nlm.nih.gov/pubmed/33046699 http://dx.doi.org/10.1038/s41467-020-18918-3 |