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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...
Autores principales: | Miyagi, Yasunari, Habara, Toshihiro, Hirata, Rei, Hayashi, Nobuyoshi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
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 |
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