Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China

Objective: The aim of this study was to use machine learning methods to analyze all available clinical and laboratory data obtained during prenatal screening in early pregnancy to develop predictive models in preeclampsia (PE). Material and Methods: Data were collected by retrospective medical recor...

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Detalles Bibliográficos
Autores principales: Liu, Mengyuan, Yang, Xiaofeng, Chen, Guolu, Ding, Yuzhen, Shi, Meiting, Sun, Lu, Huang, Zhengrui, Liu, Jia, Liu, Tong, Yan, Ruiling, Li, Ruiman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413067/
https://www.ncbi.nlm.nih.gov/pubmed/36035487
http://dx.doi.org/10.3389/fphys.2022.896969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413067/
https://www.ncbi.nlm.nih.gov/pubmed/36035487
http://dx.doi.org/10.3389/fphys.2022.896969

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