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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...

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Detalles Bibliográficos
Autores principales:	Goyal, Ashish, Kuchana, Maheshwar, Ayyagari, Kameswari Prasada Rao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
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

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