Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sookyung Hyun"'
Autor:
Pacharmon Kaewprag, Cheryl Newton, Brenda Vermillion, Sookyung Hyun, Kun Huang, Raghu Machiraju
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 81-91 (2017)
Abstract Background We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record data. Identifying ac
Externí odkaz:
https://doaj.org/article/67ae11d761144127822c241b8c00fbfb
Autor:
DongHee Lim, Sookyung Hyun
Publikováno v:
International Journal of Contents; Jun2024, Vol. 20 Issue 2, p22-32, 11p
Publikováno v:
Journal of Korean Biological Nursing Science. 23:11-21
Autor:
Sookyung Hyun, Cheryl Cooper
Publikováno v:
CIN: Computers, Informatics, Nursing. 38:475-482
Autor:
Sookyung Hyun, Seung Hun Woo, Chang Wan Kang, Eun Joo Lee, Eun Jin Han, Ihn Sook Jeong, Hyuk Jae Jung
Publikováno v:
Journal of Korean Academy of Nursing. 51(3)
Purpose This study aimed to identify the risk factors for diabetic foot ulceration (DFU) to develop and evaluate the performance of a DFU prediction model and nomogram among people with diabetes mellitus (DM). Methods This unmatched case-control stud
Publikováno v:
JMIR Medical Informatics
Background: A pressure ulcer is injury to the skin or underlying tissue, caused by pressure, friction, and moisture. Hospital-acquired pressure ulcers (HAPUs) may not only result in additional length of hospital stay and associated care costs but als
Publikováno v:
Computer Methods and Programs in Biomedicine. 194:105507
Background and Objective Identification of subgroups may be useful to understand the clinical characteristics of ICU patients. The purposes of this study were to apply an unsupervised machine learning method to ICU patient data to discover subgroups
Autor:
Kun Huang, Cheryl Newton, Sookyung Hyun, Brenda Vermillion, Pacharmon Kaewprag, Raghu Machiraju
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 81-91 (2017)
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 81-91 (2017)
Background We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record data. Identifying accurate ri
Publikováno v:
Oncology Nursing Forum. 41:145-152
Purpose/objectives To describe the predictors of nurse actions in response to a mobile health decision-support system (mHealth DSS) for guideline-based screening and management of tobacco use. Design Observational design focused on an experimental ar
Publikováno v:
Nursing Economic$. May/Jun2008, Vol. 26 Issue 3, p151-173. 9p. 2 Charts.