Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hye Jin Kam"'
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 9, p e30223 (2021)
BackgroundIn the case of Korean institutions and enterprises that collect nonstandardized and nonunified formats of electronic medical examination results from multiple medical institutions, a group of experienced nurses who can understand the result
Externí odkaz:
https://doaj.org/article/ce2847ea6f8b4384831a2290c5fa805b
Autor:
Youngheun Jo, Jae-Man Kim, Sang-Beom Jeon, Se-Ung Park, Hye-Jin Kam, Woo-Hyun Shim, Sung-Hoon Kim
Publikováno v:
Journal of Neurocritical Care, Vol 11, Iss 1, Pp 39-42 (2018)
Background The bispectral index (BIS) is a valuable indicator for measuring sedation levels and patient consciousness. Recent reports have highlighted its clinical value as an indicator for anesthesia-related cerebral hypoperfusion and ischemic brain
Externí odkaz:
https://doaj.org/article/04ed21c37a854a86b90bc5b0f950d438
Publikováno v:
Healthcare Informatics Research, Vol 24, Iss 1, Pp 3-11 (2018)
ObjectivesDevelopments in advanced technology have unlocked an era of smart health, transforming healthcare practices inside and outside hospitals for both medical staff and patients. It is now possible for patients to collect detailed health data us
Externí odkaz:
https://doaj.org/article/6e1e2d1a31624deab84cfd5a7e68a383
Publikováno v:
J Am Med Inform Assoc
Objective Accessing medical data from multiple institutions is difficult owing to the interinstitutional diversity of vocabularies. Standardization schemes, such as the common data model, have been proposed as solutions to this problem, but such sche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3a6d872e95d04a60140b1f08c2e93d
https://doi.org/10.1093/jamia/ocab030
https://doi.org/10.1093/jamia/ocab030
Publikováno v:
Healthcare Informatics Research, Vol 17, Iss 1, Pp 29-37 (2011)
ObjectivesThis study was conducted to determine whether or not newly proposed high-resolution activity features could provide a superior analytic foundation compared to those commonly used to assess transitions in children's activities, under circums
Externí odkaz:
https://doaj.org/article/16a728f274454250bc77346b783ed64a
Publikováno v:
Healthcare Informatics Research, Vol 16, Iss 3, Pp 158-165 (2010)
ObjectivesTo develop and evaluate time series models to predict the daily number of patients visiting the Emergency Department (ED) of a Korean hospital.MethodsData were collected from the hospital information system database. In order to develop a f
Externí odkaz:
https://doaj.org/article/a0ac941bf2c44b98bd3abfffb6648cf9
BACKGROUND In the case of Korean institutions and enterprises that collect nonstandardized and nonunified formats of electronic medical examination results from multiple medical institutions, a group of experienced nurses who can understand the resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9beee3befbb08e42a343cfaa32764f55
https://doi.org/10.2196/preprints.30223
https://doi.org/10.2196/preprints.30223
Autor:
Sung-Hoon Kim, Jae-Man Kim, Woo-Hyun Shim, Seung Woo Park, Hye-Jin Kam, Youngheun Jo, Sang-Beom Jeon
Publikováno v:
Journal of Neurocritical Care, Vol 11, Iss 1, Pp 39-42 (2018)
Background The bispectral index (BIS) is a valuable indicator for measuring sedation levels and patient consciousness. Recent reports have highlighted its clinical value as an indicator for anesthesia-related cerebral hypoperfusion and ischemic brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02cc8c265cc5efb3594e4901cc792fec
http://www.e-jnc.org/upload/pdf/jnc-18041.pdf
http://www.e-jnc.org/upload/pdf/jnc-18041.pdf
Publikováno v:
JMIR Medical Informatics
Background In the case of Korean institutions and enterprises that collect nonstandardized and nonunified formats of electronic medical examination results from multiple medical institutions, a group of experienced nurses who can understand the resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51df2379abc64f7eba6af9b21b42a19e
https://doi.org/10.2196/30223
https://doi.org/10.2196/30223
Autor:
Hayoung Kim, Hye Jin Kam
Publikováno v:
Computers in Biology and Medicine. 89:248-255
Background Sepsis is one of the leading causes of death in intensive care unit patients. Early detection of sepsis is vital because mortality increases as the sepsis stage worsens. Objective This study aimed to develop detection models for the early
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df89b33cb60737d491c088663f88c4f
https://doi.org/10.1016/j.compbiomed.2017.08.015
https://doi.org/10.1016/j.compbiomed.2017.08.015