Predicting clinical pregnancy using clinical features and machine learning algorithms in in vitro fertilization.

Predicting clinical pregnancy using clinical features and machine learning algorithms in in vitro fertilization.

<h4>Introduction</h4>Assisted reproductive technology has been proposed for women with infertility. Moreover, in vitro fertilization (IVF) cycles are increasing. Factors contributing to successful pregnancy have been widely explored. In this study, we used machine learning algorithms to...

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Bibliographic Details
Main Authors: Cheng-Wei Wang, Chao-Yang Kuo, Chi-Huang Chen, Yu-Hui Hsieh, Emily Chia-Yu Su
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267554&type=printable
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