Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation

Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation

BackgroundEffective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events. Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predi...

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Bibliographic Details
Main Authors: Fang Li, Zenan Sun, Ahmed abdelhameed, Tiehang Duan, Laila Rasmy, Xinyue Hu, Jianping He, Yifang Dang, Jingna Feng, Jianfu Li, Yichen Wang, Tianchen Lyu, Naomi Braun, Si Pham, Michael Gharacholou, DeLisa Fairweather, Degui Zhi, Jiang Bian, Cui Tao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
dual antiplatelet therapy
contrastive learning
transformer
predictive modeling
adverse endpoint
drug-eluting coronary artery stent implantation
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1460354/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1460354/full

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