Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes

Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes

Abstract Currently applicable models for predicting live birth outcomes in patients who received assisted reproductive technology (ART) have methodological or study design limitations that greatly obstruct their dissemination and application. Models suitable for Chinese couples have not yet been ide...

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Bibliographic Details
Main Authors: Junwei Peng, Xiaoyujie Geng, Yiyue Zhao, Zhijin Hou, Xin Tian, Xinyi Liu, Yuanyuan Xiao, Yang Liu
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Infertility
In vitro fertilization
Clinical prediction model
Machine learning
Live birth
Online Access:https://doi.org/10.1038/s41598-024-83781-x

Internet

https://doi.org/10.1038/s41598-024-83781-x

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