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Machine learning predicts live-birth occurrence before in-vitro fertilization treatment
In-vitro fertilization (IVF) is a popular method of resolving complications such as endometriosis, poor egg quality, a genetic disease of mother or father, problems with ovulation, antibody problems that harm sperm or eggs, the inability of sperm to penetrate or survive in the cervical mucus and low...
| 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/PMC7708502/ https://www.ncbi.nlm.nih.gov/pubmed/33262383 http://dx.doi.org/10.1038/s41598-020-76928-z |