Assessment and quantification of ovarian reserve on the basis of machine learning models

Assessment and quantification of ovarian reserve on the basis of machine learning models

BackgroundEarly detection of ovarian aging is of huge importance, although no ideal marker or acknowledged evaluation system exists. The purpose of this study was to develop a better prediction model to assess and quantify ovarian reserve using machine learning methods.MethodsThis is a multicenter,...

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Bibliographic Details
Main Authors: Ting Ding, Wu Ren, Tian Wang, Yun Han, Wenqing Ma, Man Wang, Fangfang Fu, Yan Li, Shixuan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Endocrinology
Subjects:
ovarian aging
ovarian reserve
machine learning
quantification
light gradient boosting machine
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1087429/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1087429/full

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