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

Internet

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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