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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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Mengyuan Liu, Xiaofeng Yang, Guolu Chen, Yuzhen Ding, Meiting Shi, Lu Sun, Zhengrui Huang, Jia Liu, Tong Liu, Ruiling Yan, Ruiman Li
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2022-08-01
Rangatū:	Frontiers in Physiology
Ngā marau:	preeclampsia machine learning prediction deep neural network pregnancy
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/fphys.2022.896969/full
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!