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A Machine Learning-Based Prediction Model for Cardiovascular Risk in Women With Preeclampsia

Objective: Preeclampsia affects 2–8% of women and doubles the risk of cardiovascular disease in women after preeclampsia. This study aimed to develop a model based on machine learning to predict postpartum cardiovascular risk in preeclamptic women. Methods: Collecting demographic characteristics and...

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Detalles Bibliográficos
Autores principales:	Wang, Guan, Zhang, Yanbo, Li, Sijin, Zhang, Jun, Jiang, Dongkui, Li, Xiuzhen, Li, Yulin, Du, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Cardiovascular Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578855/ https://www.ncbi.nlm.nih.gov/pubmed/34778400 http://dx.doi.org/10.3389/fcvm.2021.736491

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