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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 record...

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Principais autores: Mengyuan Liu, Xiaofeng Yang, Guolu Chen, Yuzhen Ding, Meiting Shi, Lu Sun, Zhengrui Huang, Jia Liu, Tong Liu, Ruiling Yan, Ruiman Li
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2022-08-01
Serier:Frontiers in Physiology
Fag:
preeclampsia
machine learning
prediction
deep neural network
pregnancy
Online adgang:https://www.frontiersin.org/articles/10.3389/fphys.2022.896969/full
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