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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.
Kim, Junetae; Lee, Sangwon; Hwang, Eugene; Ryu, Kwang Sun; Jeong, Hanseok; Lee, Jae Wook; Hwangbo, Yul; Choi, Kui Son; Cha, Hyo Soung.
Afiliação
  • Kim J; Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Lee S; Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Hwang E; Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Ryu KS; Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Jeong H; School of Management Engineering, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea.
  • Lee JW; Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Hwangbo Y; Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Choi KS; Division of Nephrology, Department of Internal Medicine, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Cha HS; Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
J Med Internet Res ; 22(12): e18418, 2020 12 16.
Article em En | MEDLINE | ID: mdl-33325832
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article