Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Hojae, Lee"'
Autor:
Hyunji Sang, Hojae Lee, Myeongcheol Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Masoud Rahmati, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aimed to develop and validate a machine learning (ML) model tailored to the Korean population with type 2 diabetes mellitus (T2DM) to provide a superior method for predicting the development of cardiovascular disease (CVD), a majo
Externí odkaz:
https://doaj.org/article/b1dc113830af411fa7b761c14b0b53a3
Autor:
Kyeongmin Lee, Jaeyu Park, Myeongcheol Lee, Hojae Lee, Yejun Son, Hyejun Kim, Jiseung Kang, Yujin Choi, Sang Youl Rhee, Masoud Rahmati, Ai Koyanagi, Lee Smith, Guillermo F. López Sánchez, Elena Dragioti, Selin Woo, Dong Keon Yon
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39401- (2024)
Objective: Although thyroid disease is a common condition, there is limited research examining the prevalence of thyroid disease over a long period of time, including both before and during the COVID-19 pandemic. Therefore, we aimed to investigate so
Externí odkaz:
https://doaj.org/article/5be3b13e88984f79a63621b4e8fcc256
Autor:
Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e56922 (2024)
BackgroundSeveral machine learning (ML) prediction models for neurodegenerative diseases (NDs) in type 2 diabetes mellitus (T2DM) have recently been developed. However, the predictive power of these models is limited by the lack of multiple risk fact
Externí odkaz:
https://doaj.org/article/2e26605e29444da9ac8d2106cf195702
Autor:
Mafaz Kattih, Hojae Lee, Hyesu Jo, Jinyoung Jeong, Hyejun Kim, Jaeyu Park, Hwi Yang, Ann Nguyen, Hyeon Jin Kim, Hyeri Lee, Minji Kim, Myeongcheol Lee, Rosie Kwon, Sunyoung Kim, Ai Koyanagi, Min Seo Kim, Masoud Rahmati, Guillermo F. López Sánchez, Elena Dragioti, Ju Hee Kim, Selin Woo, Seong H. Cho, Lee Smith, Dong Keon Yon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Previous studies have examined the prevalence of allergic diseases in adolescents 1–2 years after the emergence of the COVID-19 pandemic. However, more data is needed to understand the long-term impact of COVID-19 on allergic diseases. Thu
Externí odkaz:
https://doaj.org/article/1038c5bb2d8042b8ab5f08a88241ab4c
Autor:
Seohyun Hong, Selin Woo, Seokjun Kim, Jaeyu Park, Myeongcheol Lee, Sunyoung Kim, Ai Koyanagi, Lee Smith, Min Seo Kim, Guillermo F. López Sánchez, Elena Dragioti, Masoud Rahmati, Guillaume Fond, Laurent Boyer, Jiyeon Oh, Hojae Lee, Dong Keon Yon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Prior research has predominantly focused on the overall effects of the tobacco tax increase and the COVID-19 pandemic on adolescent smoking behavior. However, there is a need to examine both the immediate and sustained associations of these
Externí odkaz:
https://doaj.org/article/c0677ee9000948b0867cf75f8d1a7403
Autor:
Myeongcheol Lee, Hojae Lee, Jaeyu Park, Hyeon Jin Kim, Rosie Kwon, Seung Won Lee, Sunyoung Kim, Ai Koyanagi, Lee Smith, Min Seo Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Sang Youl Rhee, Dong Keon Yon
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The impact of the pandemic on hypertension management is unknown, particularly regarding changes in demographic risk factors. We conducted a comprehensive study between 1998 and 2021 on the long-term trends in hypertension prevalence in Sout
Externí odkaz:
https://doaj.org/article/7b6b7e15850a45ea9a48990433a62b68
Autor:
Hyejun Kim, Yejun Son, Hojae Lee, Jiseung Kang, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Hayeon Lee, Guillaume Fond, Laurent Boyer, Rosie Kwon, Selin Woo, Dong Keon Yon
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e55913 (2024)
BackgroundSuicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statisti
Externí odkaz:
https://doaj.org/article/253c069687a347aaa76a4eb1011eddff
Autor:
Jaeyu Park, Myeongcheol Lee, Hojae Lee, Hyeon Jin Kim, Rosie Kwon, Hwi Yang, Seung Won Lee, Sunyoung Kim, Masoud Rahmati, Ai Koyanagi, Lee Smith, Min Seo Kim, Louis Jacob, Guillermo Felipe López Sánchez, Dragioti Elena, Jae Il Shin, Sang Youl Rhee, Myung Chul Yoo, Dong Keon Yon
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Studies on the trends in the prevalence of rheumatoid arthritis (RA) and osteoarthritis (OA) are limited, particularly during the COVID-19 pandemic. This study aimed to analyze the temporal trend of RA and OA in South Korean adults from 1998
Externí odkaz:
https://doaj.org/article/f5bf1a69f1214e39956f15caacd7666f
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Despite remarkable advances in the design and synthesis of hollow inorganic spheres (HISs), the harsh synthetic conditions have precluded the applications of HISs to biochemical and biological fields. Herein we report a biocompatible strateg
Externí odkaz:
https://doaj.org/article/daf1f98ce0e04d51af5b7f6b1a8203a8
Autor:
Hojae Lee, Joong Ki Cho, Jaeyu Park, Hyeri Lee, Guillaume Fond, Laurent Boyer, Hyeon Jin Kim, Seoyoung Park, Wonyoung Cho, Hayeon Lee, Jinseok Lee, Dong Keon Yon
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e51473 (2024)
BackgroundGiven the additional risk of suicide-related behaviors in adolescents with allergic rhinitis (AR), it is important to use the growing field of machine learning (ML) to evaluate this risk. ObjectiveThis study aims to evaluate the validity a
Externí odkaz:
https://doaj.org/article/9cb9b11924444f63bd13cafb75be2ba5