Data solidarity for machine learning for embryo selection; a call for the creation of an open access repository of embryo data
The last decade has seen an explosion of machine learning (ML) applications in healthcare with mixed and sometimes harmful results, despite much promise and associated hype (Heaven, 2020). A significant reason for these reverses is the premature implementation of machine learning algorithms into cli...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2022
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