Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Surin JUNG"'
Autor:
Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee, In Young Choi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability a
Externí odkaz:
https://doaj.org/article/b116b42d1408470fbc854bb65d9c55e3
Autor:
SooJeong Ko, Sunghyeon Park, SeolWhan Oh, YunSeon Im, Surin Jung, BoYeon Choi, Jaeyoon Kim, Wona Choi, InYoung Choi
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
In Korea, the Korea Centers for Disease Control and Prevention operates the Korea BioBank Network (KBN). KBN has pathological records that collected in Korea and it is useful dataset for research. In this study, we established system that time effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::614fa3cc040770e4d2ab335b208edc33
https://doi.org/10.3233/shti230156
https://doi.org/10.3233/shti230156
Autor:
Seol Whan Oh, Soo Jeong Ko, Yun Seon Im, Surin Jung, Bo Yeon Choi, Jae Yoon Kim, Wona Choi, In Young Choi
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The amount of research on the gathering and handling of healthcare data keeps growing. To support multi-center research, numerous institutions have sought to create a common data model (CDM). However, data quality issues continue to be a major obstac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d7c99c3ccd42035d83a74213ed4f2f
https://doi.org/10.3233/shti230127
https://doi.org/10.3233/shti230127
Publikováno v:
Genes & Genomics. 44:651-658
Missing data are a common problem in large-scale datasets and its appropriate handling is crucial for data analyses. Missingness can be categorized as (1) missing completely at random (MCAR), (2) missing at random (MAR), and (3) missing not at random
Autor:
Seol Whan OH, Soo Jeong KO, Yun Seon IM, Surin JUNG, Bo Yeon CHOI, Jae Yoon KIM, Sunghyeon PARK, Wona CHOI, In Young CHOI
Publikováno v:
Studies in Health Technology & Informatics; 2023, Vol. 310, p349-353, 5p
Autor:
Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee, In Young Choi
Publikováno v:
BMC medical informatics and decision making. 22(1)
Background The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability and inform