Adaptive data-driven models to best predict the likelihood of live birth as the IVF cycle moves on and for each embryo transfer

PURPOSE: To dynamically assess the evolution of live birth predictive factors’ impact throughout the in vitro fertilization (IVF) process, for each fresh and subsequent frozen embryo transfers. METHODS: In this multicentric study, data from 13,574 fresh IVF cycles and 6,770 subsequent frozen embryo...

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Detalles Bibliográficos
Autores principales: Grzegorczyk-Martin, Véronika, Roset, Julie, Di Pizio, Pierre, Fréour, Thomas, Barrière, Paul, Pouly, Jean Luc, Grynberg, Michael, Parneix, Isabelle, Avril, Catherine, Pacheco, Joe, Grzegorczyk, Tomasz M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Assisted Reproduction Technologies
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428070/
https://www.ncbi.nlm.nih.gov/pubmed/35767167
http://dx.doi.org/10.1007/s10815-022-02547-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428070/
https://www.ncbi.nlm.nih.gov/pubmed/35767167
http://dx.doi.org/10.1007/s10815-022-02547-4

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