Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning

PURPOSE: First trimester miscarriage is a major concern in IVF-ET treatments, accounting for one out of nine clinical pregnancies and for up to one out of three recognized pregnancies. To develop a machine learning classifier for predicting the risk of cleavage-stage embryos to undergo first trimest...

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Detalles Bibliográficos
Autores principales: Amitai, Tamar, Kan-Tor, Yoav, Or, Yuval, Shoham, Zeev, Shofaro, Yoel, Richter, Dganit, Har-Vardi, Iris, Ben-Meir, Assaf, Srebnik, Naama, Buxboim, Amnon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Embryo Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935804/
https://www.ncbi.nlm.nih.gov/pubmed/36194342
http://dx.doi.org/10.1007/s10815-022-02619-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935804/
https://www.ncbi.nlm.nih.gov/pubmed/36194342
http://dx.doi.org/10.1007/s10815-022-02619-5

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