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

Abstract 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,...

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Bibliographic Details
Main Authors: Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:Reproductive Medicine and Biology
Subjects:
Online Access:https://doi.org/10.1002/rmb2.12267