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On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case | IEEE Journals & Magazine | IEEE Xplore

On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case


Abstract:

The automatic, unsupervised analysis of biomedical time series is vital for diagnostic and preventive medicine, enabling fast and reliable data processing that reveals cl...Show More

Abstract:

The automatic, unsupervised analysis of biomedical time series is vital for diagnostic and preventive medicine, enabling fast and reliable data processing that reveals clinical insights without human intervention. This article explores and quantifies the benefits of modern deeplearning architectures of varying degrees of complexity.
Published in: Computer ( Volume: 52, Issue: 11, November 2019)
Page(s): 18 - 29
Date of Publication: 21 October 2019

ISSN Information:

PubMed ID: 31745372

Funding Agency:


References

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