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Predictive Performance of Machine Learning-Based Methods for the Prediction of Preeclampsia—A Prospective Study
(1) Background: Preeclampsia (PE) prediction in the first trimester of pregnancy is a challenge for clinicians. The aim of this study was to evaluate and compare the predictive performances of machine learning-based models for the prediction of preeclampsia and its subtypes. (2) Methods: This prospe...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865606/ https://www.ncbi.nlm.nih.gov/pubmed/36675347 http://dx.doi.org/10.3390/jcm12020418 |