Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image

PURPOSE: To make the artificial intelligence (AI) classifiers of the image of the blastocyst implanted later in order to predict the probability of achieving live birth. METHODS: A system for using the machine learning approaches, which are logistic regression, naive Bayes, nearest neighbors, random...

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Detalles Bibliográficos
Autores principales: Miyagi, Yasunari, Habara, Toshihiro, Hirata, Rei, Hayashi, Nobuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452008/
https://www.ncbi.nlm.nih.gov/pubmed/30996684
http://dx.doi.org/10.1002/rmb2.12267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452008/
https://www.ncbi.nlm.nih.gov/pubmed/30996684
http://dx.doi.org/10.1002/rmb2.12267

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