Prediction model based on machine learning for short- and long-term adverse events in left atrial appendage closure

BACKGROUND: At present, the prediction of adverse events (AE) had practical significance in clinic and the accuracy of AE prediction model after left atrial appendage closure (LAAC) needed to be improved. To identify a good prediction model based on machine learning for short- and long-term AE after...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaogang, Tian, Bei, Cong, Xinpeng, Hao, Shu-Wen, Huan, Qiang, Jin, Can, Zhu, Luoning, Ning, Zhong-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264065/
https://www.ncbi.nlm.nih.gov/pubmed/35813710
http://dx.doi.org/10.21037/jtd-22-499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264065/
https://www.ncbi.nlm.nih.gov/pubmed/35813710
http://dx.doi.org/10.21037/jtd-22-499

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