<p>TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records</p>

Mohammad Al Olaimat; Serdar Bozdag

doi:10.7490/f1000research.1119976.1

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Al Olaimat M and Bozdag S. TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records [version 1; not peer reviewed]. F1000Research 2024, 13:1302 (slides) (https://doi.org/10.7490/f1000research.1119976.1)

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TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records

Mohammad Al Olaimat, Serdar Bozdag¹

Published 30 Oct 2024 (https://doi.org/10.7490/f1000research.1119976.1)

Author Affiliations

¹ Computer Science and Engineeri, University of North Texas College of Engineering, Denton, Texas, USA

Copyright © 2024 Al Olaimat M and Bozdag S. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 30 Oct 2024

TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records
[version 1; not peer reviewed]

Mohammad Al Olaimat, Serdar Bozdag¹

Author Affiliations

¹ Computer Science and Engineeri, University of North Texas College of Engineering, Denton, Texas, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

RNN, EHR, deep learning, disease diagnosis, Alzheimer's disease, early prediction, recurrent neural network

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