Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hakje Yoo"'
Publikováno v:
JMIR Formative Research, Vol 8, p e47814 (2024)
BackgroundPatients often struggle with determining which outpatient specialist to consult based on their symptoms. Natural language processing models in health care offer the potential to assist patients in making these decisions before visiting a ho
Externí odkaz:
https://doaj.org/article/45e36b148df84a7a9255636b0f691fec
Autor:
Hakje Yoo, Yunjin Yum, Soo Wan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo
Publikováno v:
Healthcare Informatics Research, Vol 29, Iss 2, Pp 132-144 (2023)
Objectives Electrocardiography (ECG)-based diagnosis by experts cannot maintain uniform quality because individual differences may occur. Previous public databases can be used for clinical studies, but there is no common standard that would allow dat
Externí odkaz:
https://doaj.org/article/2aa05f1bf8904a7ca8bcf346b315891a
Autor:
Hakje Yoo, Taeyong Sim
Publikováno v:
IEEE Access, Vol 10, Pp 115884-115894 (2022)
Coarse registration is the first step in determining the accuracy of surgical navigation. The purpose of this study was to present an automated coarse registration (ACR) methodology to improve the convenience and accuracy. For this purpose, a deep le
Externí odkaz:
https://doaj.org/article/007c71315f324727abb8b44aa68d04fa
Autor:
Yunjin Yum, Seung Yong Shin, Hakje Yoo, Yong Hyun Kim, Eung Ju Kim, Gregory Y. H. Lip, Hyung Joon Joo
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 12 (2022)
Background Improved prediction of atrial fibrillation (AF) may allow for earlier interventions for stroke prevention, as well as mortality and morbidity from other AF‐related complications. We developed a clinically feasible and accurate AF predict
Externí odkaz:
https://doaj.org/article/65eb32e14cd24bd2bf6d8013bd2dfbde
Autor:
Taeyong Sim, Hakje Yoo, Dongjun Lee, Seung-Woo Suh, Jae Hyuk Yang, Hyunggun Kim, Joung Hwan Mun
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-11 (2018)
Abstract Background The aim of this study was to quantitatively analyze quite standing postural stability of adolescent idiopathic scoliosis (AIS) patients in respect to three sensory systems (visual, vestibular, and somatosensory). Method In this st
Externí odkaz:
https://doaj.org/article/b28a283fc80d48979045a5b606af821a
Autor:
Hakje, Yoo, Taeyong, Sim
Publikováno v:
Medical Physics. 49:4845-4860
Although the surface registration technique has the advantage of being relatively safe and the operation time is short, it generally has the disadvantage of low accuracy.This research proposes automated machine learning (AutoML)-based surface registr
Publikováno v:
Biomedical Signal Processing and Control. 83:104690
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:1466-1472
Surface registration is an important factor in surgical navigation in determining the success rate and stability of surgery by providing the operator with the exact location of a lesion. The problem of surface registration is that point cloud in the
Publikováno v:
Journal of Mechanical Science and Technology. 34:2667-2677
One important technique of surgical navigation is surface registration that matches coordinates in two different spaces. We proposed a novel method to extract an optimal point cloud in image space corresponding to the point cloud in patient space to
Autor:
Dong Jun Lee, Joung Hwan Mun, Hakje Yoo, Seung Woo Suh, Taeyong Sim, Jae Hyuk Yang, Hyunggun Kim
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-11 (2018)
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation
Background The aim of this study was to quantitatively analyze quite standing postural stability of adolescent idiopathic scoliosis (AIS) patients in respect to three sensory systems (visual, vestibular, and somatosensory). Method In this study, we a