88 Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features-Reference-Cited by-同舟云学术

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88 Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:Cardiac Rhythm Management
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Author:

Sau Arunashis,Giatti Luana,Ng Fu Siong,Peters Nicholas,Shipley Martin,Barreto Sandhi,Pastika Libor,Ribeiro Antônio,Sabino Ester,Ware James,McGurk Kathryn,Andršová Irena,Wu Huiyi,Malik Marek,Ribeiro Antonio,Zheng Sean,O’Regan Declan,Waks Jonathan,Ardissino Maddalena,Bajaj Nikesh,Hnatkova Katerina,Shi Xili,Mandic Danilo,Kramer Daniel,Britton Annie,Chen Jun Yu,Novotný Tomáš

Publisher

BMJ Publishing Group Ltd and British Cardiovascular Society

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Network Modeling of Long-Term Cardiac Arrest Risk Forecasting;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. Deep Representation of EEG Signals Using Spatio-Spectral Feature Images;Applied Sciences;2023-08-30

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