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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 recor...
Autores principales: | Liu, Mengyuan, Yang, Xiaofeng, Chen, Guolu, Ding, Yuzhen, Shi, Meiting, Sun, Lu, Huang, Zhengrui, Liu, Jia, Liu, Tong, Yan, Ruiling, Li, Ruiman |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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