Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Taehoon Ko"'
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 3, Pp 169-171 (2024)
Externí odkaz:
https://doaj.org/article/ac247ecedb5741c8ab90634beb1064ea
Autor:
Hyung Min Kim, Taehoon Ko, Hyoeun Kang, Sungwook Choi, Jong Hyuk Park, Mi Kyung Chung, Miran Kim, Na Young Kim, Hye Jun Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aimed to assess the performance of an artificial intelligence (AI) model for predicting clinical pregnancy using enhanced inner cell mass (ICM) and trophectoderm (TE) images. In this retrospective study, we included static images
Externí odkaz:
https://doaj.org/article/2d15566e4d57493da860e85abf23097c
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:
Healthcare Informatics Research, Vol 29, Iss 3, Pp 187-189 (2023)
Externí odkaz:
https://doaj.org/article/cb09b3ab263e4e9aa8d600082f6ead13
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/56a3cd968bc84eb9a48b8ba42639e975
Autor:
Ye Seul Bae, Yujin Park, Seung Min Lee, Hee Hwa Seo, Hyeonji Lee, Taehoon Ko, Eunsol Lee, Sang Min Park, Hyung-Jin Yoon
Publikováno v:
IEEE Access, Vol 10, Pp 79264-79271 (2022)
Health information exchange can improve health outcomes and reduce unnecessary medical expenses. An important task in health information exchange is to prove data integrity and strengthen the right to self-determination of individuals. This can be ad
Externí odkaz:
https://doaj.org/article/1a9fe8e3a34044d5b63d19898325dcd6
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 11, p 1899 (2022)
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
Externí odkaz:
https://doaj.org/article/0052be4d10ee4fa7999d880cf640e05c
Publikováno v:
JMIR Formative Research, Vol 5, Iss 8, p e26227 (2021)
BackgroundDigital health care is an important strategy in the war against COVID-19. South Korea introduced living and treatment support centers (LTSCs) to control regional outbreaks and care for patients with asymptomatic or mild COVID-19. Seoul Nati
Externí odkaz:
https://doaj.org/article/672b2ed503c8431686670e212b322f81
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e26371 (2021)
BackgroundVarious techniques are used to support contact tracing, which has been shown to be highly effective against the COVID-19 pandemic. To apply the technology, either quarantine authorities should provide the location history of patients with C
Externí odkaz:
https://doaj.org/article/f3b091f2ad914199b66dd9fc537297cc
Publikováno v:
Healthcare Informatics Research, Vol 25, Iss 4, Pp 305-312 (2019)
ObjectivesTriage is a process to accurately assess and classify symptoms to identify and provide rapid treatment to patients. The Korean Triage and Acuity Scale (KTAS) is used as a triage instrument in all emergency centers. The aim of this study was
Externí odkaz:
https://doaj.org/article/7b9fc28a9efe4b39b48de0c85d808e02