Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms

BACKGROUND: Large for gestational age (LGA) is one of the adverse outcomes during pregnancy that endangers the life and health of mothers and offspring. We aimed to establish prediction models for LGA at late pregnancy. METHODS: Data were obtained from an established Chinese pregnant women cohort of...

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Detalles Bibliográficos
Autores principales: Wang, Ning, Guo, Haonan, Jing, Yingyu, Zhang, Yifan, Sun, Bo, Pan, Xingyan, Chen, Huan, Xu, Jing, Wang, Mengjun, Chen, Xi, Song, Lin, Cui, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101839/
https://www.ncbi.nlm.nih.gov/pubmed/36890429
http://dx.doi.org/10.1111/1753-0407.13375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101839/
https://www.ncbi.nlm.nih.gov/pubmed/36890429
http://dx.doi.org/10.1111/1753-0407.13375

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