Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study
Abstract Background To minimize the rate of in vitro fertilization (IVF)- associated multiple-embryo gestation, significant efforts have been made. Previous studies related to machine learning in IVF mainly focused on selecting the top-quality embryos to improve outcomes, however, in patients with s...
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| Main Authors: | , , , , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2021-04-01T00:00:00Z.
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