Development of a Model Predicting the Outcome of In Vitro Fertilization Cycles by a Robust Decision Tree Method

Development of a Model Predicting the Outcome of In Vitro Fertilization Cycles by a Robust Decision Tree Method

IntroductionInfertility is a worldwide problem. To evaluate the outcome of in vitro fertilization (IVF) treatment for infertility, many indicators need to be considered and the relation among indicators need to be studied.ObjectivesTo construct an IVF predicting model by a robust decision tree metho...

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Bibliographic Details
Main Authors: Kaiyou Fu, Yanrui Li, Houyi Lv, Wei Wu, Jianyuan Song, Jian Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Endocrinology
Subjects:
in-vitro fertilization
artificial intelligence
prediction model
feature discretization
clinical pregnancy
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.877518/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.877518/full

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