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

Artificial Intelligence (625) Clinical Informatics (514) Machine Learning (960)

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 Kim 1, 2, 3 Author Orcid Image ;   Sangwon Lee 1 Author Orcid Image ;   Eugene Hwang 4 Author Orcid Image ;   Kwang Sun Ryu 1 Author Orcid Image ;   Hanseok Jeong 2 Author Orcid Image ;   Jae Wook Lee 5 Author Orcid Image ;   Yul Hwangbo 3, 6 Author Orcid Image ;   Kui Son Choi 1, 2 Author Orcid Image ;   Hyo Soung Cha 1, 2 Author Orcid Image
Article Authors Cited by Tweetations (6) Metrics
Junetae Kim 1, 2, 3 * , PhD ;   Sangwon Lee 1 * , MS ;   Eugene Hwang 4 , BS ;   Kwang Sun Ryu 1 , PhD ;   Hanseok Jeong 2 , MS ;   Jae Wook Lee 5 , MD, PhD ;   Yul Hwangbo 3, 6 , MD ;   Kui Son Choi 1, 2 , PhD ;   Hyo Soung Cha 1, 2 , PhD

1 Cancer Data Center , National Cancer Control Institute , National Cancer Center , Goyang-si, Gyeonggi-do , KR

2 Graduate School of Cancer Science and Policy , National Cancer Center , Goyang-si, Gyeonggi-do , KR

3 Healthcare AI Team , Healthcare Platform Center , National Cancer Center , Goyang-si, Gyeonggi-do , KR

4 School of Management Engineering , Korea Advanced Institute of Science and Technology (KAIST) , Seoul , KR

5 Division of Nephrology , Department of Internal Medicine , National Cancer Center , Goyang-si, Gyeonggi-do , KR

6 Division of Endocrinology , Department of Internal Medicine , National Cancer Center , Goyang-si, Gyeonggi-do , KR

*these authors contributed equally

Corresponding Author:

  • Hyo Soung Cha, PhD
  • Cancer Data Center
  • National Cancer Control Institute
  • National Cancer Center
  • 809 Madu 1(il)-dong, Ilsandong-gu
  • Goyang-si, Gyeonggi-do
  • KR
  • Phone: 82 31-920-1892
  • Email: kkido@ncc.re.kr