This paper is in the following e-collection/theme issue:

Artificial Intelligence (1748) Clinical Informatics (1165) Machine Learning (1742)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18418, first published .
Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

Authors of this article:

Junetae Kim1, 2, 3 Author Orcid Image ;   Sangwon Lee2 Author Orcid Image ;   Eugene Hwang4 Author Orcid Image ;   Kwang Sun Ryu2 Author Orcid Image ;   Hanseok Jeong1 Author Orcid Image ;   Jae Wook Lee5 Author Orcid Image ;   Yul Hwangbo3, 6 Author Orcid Image ;   Kui Son Choi1, 2 Author Orcid Image ;   Hyo Soung Cha1, 2 Author Orcid Image
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Sven Awege Sven Awege @SVENNIECO

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Di… https://t.co/9vzRwsVAbg

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fredbarney fredbarney @yabbadabbadoo99

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Di… https://t.co/9VsQfuqCtB

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Oncology & Machine Learning Oncology & Machine Learning @MlOncology

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Di… https://t.co/FvO0IBRRbL

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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Di… https://t.co/iu0nxqVJEX

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