Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yeji Hong"'
Autor:
Hyunjin Ryu, Yeji Hong, Eunjeong Kang, Minjung Kang, Jayoun Kim, Hayne Cho Park, Yun Kyu Oh, Ho Jun Chin, Sue K. Park, Ji Yong Jung, Young Youl Hyun, Su Ah Sung, Curie Ahn, Kook-Hwan Oh, KNOW-CKD Study Group
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The causes of chronic kidney disease (CKD) affects its outcomes. However, the relative risks for adverse outcomes according to specific causes of CKD is not well established. In a prospective cohort study from KNOW-CKD, a cohort was analyzed
Externí odkaz:
https://doaj.org/article/200c965f3c0d45ab9a5a80b896de877a
Autor:
Hayne Cho Park, Yeji Hong, Jeong-Heum Yeon, Hyunjin Ryu, Yong-Chul Kim, Joongyub Lee, Yeong Hoon Kim, Dong-Wan Chae, WooKyung Chung, Curie Ahn, Kook-Hwan Oh, Yun Kyu Oh
Publikováno v:
Kidney Research and Clinical Practice, Vol 41, Iss 4, Pp 432-441 (2022)
Background Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective Ko
Externí odkaz:
https://doaj.org/article/0d6048f1c35145ee8ee9cf0357e6d0f4
Autor:
Hyunjin Ryu, Yeji Hong, Eunjeong Kang, Minjung Kang, Jayoun Kim, Hayne Cho Park, Yun Kyu Oh, Ho Jun Chin, Sue K. Park, Ji Yong Jung, Young Youl Hyun, Su Ah Sung, Curie Ahn, Kook-Hwan Oh, KNOW-CKD Study Group
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/1d57002e10894ecd9e99d8fc2ee66337
Autor:
Hyunjin Ryu, Jayoun Kim, Eunjeong Kang, Yeji Hong, Dong-Wan Chae, Kyu Hun Choi, Seung Hyeok Han, Tae Hyun Yoo, Kyubeck Lee, Yong-Soo Kim, Wookyung Chung, Yun Kyu Oh, Soo Wan Kim, Yeong Hoon Kim, Su Ah Sung, Joongyub Lee, Sue K. Park, Curie Ahn, Kook-Hwan Oh, Representing KNOW-CKD Study Group
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Few studies have investigated the incidence of cardiovascular disease (CVD) in the Asian chronic kidney disease (CKD) population. This study assessed the incidence of CVD, death, and a composite outcome of CVD and death in a prospective Kore
Externí odkaz:
https://doaj.org/article/2539435d1c0241568d54550573f258db
Autor:
Hyunjin Ryu, Jayoun Kim, Eunjeong Kang, Yeji Hong, Dong‑Wan Chae, Kyu Hun Choi, Seung Hyeok Han, Tae Hyun Yoo, Kyubeck Lee, Yong‑Soo Kim, Wookyung Chung, Yun Kyu Oh, Soo Wan Kim, Yeong Hoon Kim, Su Ah Sung, Joongyub Lee, Sue K. Park, Curie Ahn, Kook‑Hwan Oh, Representing KNOW‑CKD Study Group
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/d1cef918f481493f80cb8ac1d59b7e0d
Publikováno v:
Archives of Pharmacal Research. 46:131-148
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 36:800-816
To prevent struck‐by accidents at construction sites, construction object movement should be predicted to avoid dangerous situations. This paper proposes a vision‐based proactive proximity...
Publikováno v:
Automation in Construction. 149:104773
Autor:
Minjung Kang, Yeji Hong, Young Youl Hyun, Eunjeong Kang, Soo Wan Kim, Hyunjin Ryu, Tae Hyun Yoo, Kook Hwan Oh, Su Ah Sung, Sue K. Park, Curie Ahn, Seung Seok Han, Jayoun Kim
Publikováno v:
Nephrology Dialysis Transplantation. 36:512-519
Background Diet is a modifiable factor of chronic kidney disease (CKD) progression. However, the effect of dietary salt intake on CKD progression remains unclear. Therefore, we analyzed the effect of dietary salt intake on renal outcome in Korean pat
Autor:
Hayne Cho Park, Yeji Hong, Jeong-Heum Yeon, Hyunjin Ryu, Yong-Chul Kim, Joongyub Lee, Yeong Hoon Kim, Dong-Wan Chae, WooKyung Chung, Curie Ahn, Kook-Hwan Oh, Yun Kyu Oh
Publikováno v:
Kidney research and clinical practice. 41(4)
Background: Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective K