Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study

Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study

ObjectiveThere is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live births in Chinese women with PCOS, as well as to identify the risk factors affecting live births in this po...

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Bibliographic Details
Main Authors: Yue Liu, Jingshu Gao, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Endocrinology
Subjects:
polycystic ovarian syndrome
live birth
lasso-logistic regression
nomogram
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1525823/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1525823/full

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