Machine learning in a real-world PFO study: analysis of data from multi-centers in China

Machine learning in a real-world PFO study: analysis of data from multi-centers in China

Abstract Purpose The association of patent foreman ovale (PFO) and cryptogenic stroke has been studied for years. Although device closure overall decreases the risk for recurrent stroke, treatment effects varied across different studies. In this study, we aimed to detect sub-clusters in post-closure...

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Bibliographic Details
Main Authors: Dongling Luo, Ziyang Yang, Gangcheng Zhang, Qunshan Shen, Hongwei Zhang, Junxing Lai, Hui Hu, Jianxin He, Shulin Wu, Caojin Zhang
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Patent foreman ovale
Device closure
Recurrent stroke
Transient ischemic attack
Online Access:https://doi.org/10.1186/s12911-022-02048-5

Internet

https://doi.org/10.1186/s12911-022-02048-5

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