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

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, Republic of Korea

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

3 Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea

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

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

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

*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, 10408
  • Republic of Korea
  • Phone: 82 31-920-1892
  • Email: kkido@ncc.re.kr