Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Sanghoon Han"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Academic achievement is a critical measure of intellectual ability, prompting extensive research into cognitive tasks as potential predictors. Neuroimaging technologies, such as functional near-infrared spectroscopy (fNIRS), offer insights i
Externí odkaz:
https://doaj.org/article/79511bfd673743049e459dd33180bb9c
Autor:
Junggu Choi, Kion Kim, Soo Hyun Park, Juyoen Hur, Hyunjung Yang, Young-Hoon Kim, Hakbae Lee, Sanghoon Han
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Diverse cases regarding the impact, with its related factors, of the COVID-19 pandemic on mental health have been reported in previous studies. In this study, multivariable datasets were collected from 751 college students who could be easil
Externí odkaz:
https://doaj.org/article/a5536f3f55044242a5aa3b7fc85f1826
Autor:
Hyeon-Su Im, Insook Lee, Shinmi Kim, Jong Soo Lee, Ju-Hee Kim, Jae Young Moon, Byung Kyu Park, Kyung Hee Lee, Myung Ah Lee, Sanghoon Han, Yoonki Hong, Hyeyeoung Kim, Jaekyung Cheon, Su-Jin Koh
Publikováno v:
BMC Medical Ethics, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract Background This study aimed to identify the healthcare providers’ experience and perspectives toward end-of-life care decisions focusing on end-of-life discussion and physician’s order of life-sustaining treatment documentation in Korea
Externí odkaz:
https://doaj.org/article/dc6ecf5f5d9b4c8ba0c3a6bd7d9cef3f
Autor:
Junggu Choi, Sanghoon Han
Publikováno v:
Digital Health, Vol 9 (2023)
Objective The coronavirus disease 2019 (COVID-19) pandemic is among the most critical public health problems worldwide in the last three years. We tried to investigate changes in factors between pre- and early stages of the COVID-19 pandemic. Methods
Externí odkaz:
https://doaj.org/article/a0e153e51e384268ad5991eba0cedd89
Publikováno v:
IEEE Access, Vol 11, Pp 117393-117402 (2023)
In general, 3D human-pose estimation requires high-performance computing resources. Existing methods working on mobile devices trade off accuracy in return for increased efficiency, often making the estimation accuracy far from sufficient for develop
Externí odkaz:
https://doaj.org/article/c48294aa64dd424283ae637ebac555c4
Autor:
Mijeong Park, Deachul Seo, Ji Geun Kim, Gayeon Lee, Larkin S. McReynolds, Lawrence Amsel, Hyunjung Yang, Young-Hoon Kim, Sanghoon Han, Soo Hyun Park, Juyoen Hur
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
BackgroundThe Coronavirus (COVID-19) pandemic resulted in a dramatic increase in the prevalence of anxiety and depression globally. Although the impact on the mental health of young adults was especially strong, its underlying mechanisms remain elusi
Externí odkaz:
https://doaj.org/article/b39bb7313c6f4457b85adcc5e765d746
Publikováno v:
Digital Health, Vol 9 (2023)
Background Sleep stage identification is critical in multiple areas (e.g. medicine or psychology) to diagnose sleep-related disorders. Previous studies have reported that the performance of machine learning algorithms can be changed depending on the
Externí odkaz:
https://doaj.org/article/a1c83e9f166244dd90ab57bcad769d17
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionDue to its increasing prevalence, dementia is currently one of the most extensively studied health issues. Although it represents a comparatively less-addressed issue, the caregiving burden for dementia patients is likewise receiving atte
Externí odkaz:
https://doaj.org/article/5e3802d9a364435f9358166dde4fc89b
Autor:
Junggu Choi, Inhwan Ko, Yoonjin Nah, Bora Kim, Yongwan Park, Jihyun Cha, Jongkwan Choi, Sanghoon Han
Publikováno v:
IEEE Access, Vol 10, Pp 50864-50877 (2022)
Learning ability evaluation has been critical in educational and medical fields to investigate learning achievement or cognitive impairment. Previous researchers utilized biosignal data such as functional near-infrared spectroscopy and an electroence
Externí odkaz:
https://doaj.org/article/99c8a9e24c6c4b16ab4295fdb7271da1
Publikováno v:
IEEE Access, Vol 9, Pp 96739-96750 (2021)
The planning and execution of a business strategy are important aspects of the strategic human resource management of a company. In previous studies, machine learning algorithms were used to determine the main factors correlating employees with compa
Externí odkaz:
https://doaj.org/article/8bd214ee13614b57b9465fb38bbf6e9b