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...

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Detalles Bibliográficos
Autores principales: Melinte-Popescu, Alina-Sinziana, Vasilache, Ingrid-Andrada, Socolov, Demetra, Melinte-Popescu, Marian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865606/
https://www.ncbi.nlm.nih.gov/pubmed/36675347
http://dx.doi.org/10.3390/jcm12020418

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