Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Hyeyeon Kim"'
Autor:
Jinchul Kim, Yun Kwan Kim, Hyeyeon Kim, Hyojung Jung, Soonjeong Koh, Yujeong Kim, Dukyong Yoon, Hahn Yi, Hyung-Jun Kim
Publikováno v:
JMIR Formative Research, Vol 7, p e44763 (2023)
BackgroundThe prediction of successful weaning from mechanical ventilation (MV) in advance of intubation can facilitate discussions regarding end-of-life care before unnecessary intubation. ObjectiveWe aimed to develop a machine learning–based mod
Externí odkaz:
https://doaj.org/article/23735d5222414fc5b71f64051194bae1
Autor:
Hyeyeon Kim, Kazeera Aliar, Pirashaanthy Tharmapalan, Curtis W. McCloskey, Abhijith Kuttanamkuzhi, Barbara T. Grünwald, Luis Palomero, Mathepan J. Mahendralingam, Matthew Waas, Arvind S. Mer, Mitchell J. Elliott, Bowen Zhang, Khalid N. Al-Zahrani, Ellen R. Langille, Michael Parsons, Swami Narala, Stefan Hofer, Paul D. Waterhouse, Razqallah Hakem, Benjamin Haibe-Kains, Thomas Kislinger, Daniel Schramek, David W. Cescon, Miquel A. Pujana, Hal K. Berman, Rama Khokha
Publikováno v:
Cell Reports, Vol 42, Iss 11, Pp 113382- (2023)
Externí odkaz:
https://doaj.org/article/7cdadbe68d5c48a4b19b8899301c9920
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e40179 (2023)
BackgroundOsteoporosis is one of the diseases that requires early screening and detection for its management. Common clinical tools and machine-learning (ML) models for screening osteoporosis have been developed, but they show limitations such as low
Externí odkaz:
https://doaj.org/article/cec075abd04845d397c9ae2dc4dc034d
Autor:
Hyobin Julianne Lim, Haejin Yoon, Hyeyeon Kim, Yun-Won Kang, Ji-Eun Kim, Oh Youn Kim, Eun-Young Lee, Jean-Claude Twizere, Janusz Rak, Dae-Kyum Kim
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Extracellular vesicles (EVs) are membranous structures containing bioactive molecules, secreted by most cells into the extracellular environment. EVs are classified by their biogenesis mechanisms into two major subtypes: ectosomes (enriched in large
Externí odkaz:
https://doaj.org/article/289ab8915e8249a8a90bd95a317fda70
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-16 (2019)
Abstract Analysis of compound–protein interactions (CPIs) has become a crucial prerequisite for drug discovery and drug repositioning. In vitro experiments are commonly used in identifying CPIs, but it is not feasible to discover the molecular and
Externí odkaz:
https://doaj.org/article/5918a419c0d742fe8da8eb821a2da4bd
Enhanced efficiency of crystalline Si solar cells based on kerfless-thin wafers with nanohole arrays
Autor:
Hyeon-Seung Lee, Jaekwon Suk, Hyeyeon Kim, Joonkon Kim, Jonghan Song, Doo Seok Jeong, Jong-Keuk Park, Won Mok Kim, Doh-Kwon Lee, Kyoung Jin Choi, Byeong-Kwon Ju, Taek Sung Lee, Inho Kim
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract Several techniques have been proposed for kerfless wafering of thin Si wafers, which is one of the most essential techniques for reducing Si material loss in conventional wafering methods to lower cell cost. Proton induced exfoliation is one
Externí odkaz:
https://doaj.org/article/2df4e80b0c414f7db31c0ce7d436e071
Publikováno v:
ACS Omega. 8:16131-16144
Publikováno v:
Surgical Endoscopy. 37:4028-4039
Evidence of the advantages of robotic pancreaticoduodenectomy (RPD) over laparoscopic pancreaticoduodenectomy (LPD) is limited. Thus, this study aimed to compare the surgical outcomes of laparoscopic reconstruction L-recon) versus robotic reconstruct
Autor:
Munseok Choi, Jae Hoon Lee, Yun Ho Roh, Hyeyeon Kim, Jae Young Jang, Sung Hoon Choi, Chang Moo Kang
Publikováno v:
Annals of Surgical Oncology.
Autor:
Bogyeong, Suh, Heejin, Yu, Hyeyeon, Kim, Sanghwa, Lee, Sunghye, Kong, Jinwoo, Kim, Jongeun, Choi
Publikováno v:
Journal of medical Internet research.
Osteoporosis is one of the diseases that require early screening and detection for its management. Common clinical tools and machine learning (ML) models for screening osteoporosis are attempted, but they have shown limitations, such as low accuracy.