Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kanghyuck LEE"'
Publikováno v:
Endocrinology and Metabolism, Vol 39, Iss 1, Pp 176-185 (2024)
Background Cardiovascular disease is life-threatening yet preventable for patients with type 2 diabetes mellitus (T2DM). Because each patient with T2DM has a different risk of developing cardiovascular complications, the accurate stratification of ca
Externí odkaz:
https://doaj.org/article/9d5e2472da0f4cc29764ae51afbfa005
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 11; Pages: 1899
The early prediction of diabetes can facilitate interventions to prevent or delay it. This study proposes a diabetes prediction model based on machine learning (ML) to encourage individuals at risk of diabetes to employ healthy interventions. A total
Publikováno v:
SID Symposium Digest of Technical Papers. 52:189-191
Autor:
Eunah Jang, Kyuseung Shim, Jongbo Kim, Jongwan Park, Kanghyuck Lee, Jongmin Park, Yongsu Bae, Jin-kyung Jo, Hyojin Lee, Minkyung Baek
Publikováno v:
Journal of Odor and Indoor Environment. 19:262-267
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p710-711, 2p
Autor:
Heqing Ye, Hyeok‐jin Kwon, Su Cheol Shin, Hwi‐young Lee, Young Ho Park, Xiaowu Tang, Ruxian Wang, Kanghyuck Lee, Jisu Hong, Zhijun Li, Wonkyo Jeong, Jiyeong Kim, Chan Eon Park, Jihoon Lee, Tae Kyu An, Insik In, Se Hyun Kim
Publikováno v:
Advanced Functional Materials. 32:2270042
Autor:
Xiaowu Tang, Chan Eon Park, Wonkyo Jeong, Se Hyun Kim, Su Cheol Shin, Insik In, Heqing Ye, Ji-Hoon Lee, Kanghyuck Lee, Ruxian Wang, Young Ho Park, Zhijun Li, Tae Kyu An, Hwiyoung Lee, Hyeok-jin Kwon, Jiyeong Kim, Jisu Hong
Publikováno v:
Advanced Functional Materials. 32:2104030