Confounding factors need to be accounted for in assessing bias by machine learning algorithms
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| Published in | Nature medicine Vol. 28; no. 6; pp. 1159 - 1160 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.06.2022
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1078-8956 1546-170X 1546-170X |
| DOI | 10.1038/s41591-022-01847-7 |
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| Author | Mathai, Tejas Shen, Thomas C. Liu, Jianfei Summers, Ronald M. Mukherjee, Pritam Shafaat, Omid |
|---|---|
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| Cites_doi | 10.1038/s41591-021-01595-0 10.1142/9789811232701_0022 |
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| Copyright | This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022. |
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| Title | Confounding factors need to be accounted for in assessing bias by machine learning algorithms |
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