Deep transfer learning for reducing health care disparities arising from biomedical data inequality
Developing machine learning models that work equally well for all ethnic groups is of crucial importance to health disparity prevention and reduction. Here, using an extensive set of machine learning experiments on cancer omics data, the authors find that transfer learning can improve model performa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-18918-3 |