Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Tai-Myoung Chung"'
Autor:
Soohwan Oh, Yoo-Sook Joung, Tai-Myoung Chung, Junho Lee, Bum Joon Seok, Namuk Kim, Ha Min Son
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
IntroductionDiagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) is based on clinical evaluation of symptoms by a psychiatrist, referencing results of psychological tests. When diagnosing ADHD, the child’s behavior and functionality in real
Externí odkaz:
https://doaj.org/article/847e80dc3f0b40fda28840ed61115fb7
Publikováno v:
IEEE Access, Vol 12, Pp 127782-127791 (2024)
Classification models using deep or machine learning algorithms require a sufficient and balanced training dataset to improve performance. Still, they suffer from data collection due to data privacy issues. In medical research, where most data variab
Externí odkaz:
https://doaj.org/article/8479e5104d4b48e9be00d302a6072f27
Publikováno v:
Sensors, Vol 24, Iss 2, p 715 (2024)
The subtype diagnosis and severity classification of mood disorder have been made through the judgment of verified assistance tools and psychiatrists. Recently, however, many studies have been conducted using biomarker data collected from subjects to
Externí odkaz:
https://doaj.org/article/754c87b5dc6040ad9ba74cff3ffc6d90
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 6929 (2023)
Digital therapeutics, evidence-based treatments delivered through software programs, are revolutionizing healthcare by utilizing cutting-edge computing technologies. Unlike conventional medical treatment methods, digital therapeutics are based on mul
Externí odkaz:
https://doaj.org/article/150fd74394404136b2ffe41aba655d66
Autor:
Ha Min Son, Wooho Jeon, Jinhyun Kim, Chan Yeong Heo, Hye Jin Yoon, Ji-Ung Park, Tai-Myoung Chung
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Although computer-aided diagnosis (CAD) is used to improve the quality of diagnosis in various medical fields such as mammography and colonography, it is not used in dermatology, where noninvasive screening tests are performed only with the
Externí odkaz:
https://doaj.org/article/2ce2d815162a4b5bb6ff7d8de7f7f5f7
Publikováno v:
Sensors, Vol 23, Iss 10, p 4980 (2023)
Parkinson’s disease (PD) is a neurodegenerative disorder that causes gait abnormalities. Early and accurate recognition of PD gait is crucial for effective treatment. Recently, deep learning techniques have shown promising results in PD gait analys
Externí odkaz:
https://doaj.org/article/c4efe3e97bcd40f6a4d4a76dd965cd2f
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9943 (2022)
Federated Learning is a widely adopted method for training neural networks over distributed data. One main limitation is the performance degradation that occurs when data are heterogeneously distributed. While many studies have attempted to address t
Externí odkaz:
https://doaj.org/article/a6dc3dc6fe4f4544971589a6031ab1da
Publikováno v:
EAI Endorsed Transactions on Mobile Communications and Applications, Vol 3, Iss 11, Pp 1-10 (2017)
Recently interest in Internet of Things(IoT) is increasing, and a variety of the security technologies that are suitable for Internet of Things has being studied. In order to maintain the trustworthy connectivity and the accessibility of distributed
Externí odkaz:
https://doaj.org/article/e1a98cc5c3774c2a92391c1c071d15ae
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0170566 (2017)
Lately, we see that Internet of things (IoT) is introduced in medical services for global connection among patients, sensors, and all nearby things. The principal purpose of this global connection is to provide context awareness for the purpose of br
Externí odkaz:
https://doaj.org/article/0f92e85255624abdb49bb23831d3543a
Publikováno v:
International Journal of Web Information Systems. 18:77-99
Purpose This study aims to summarize the critical issues in medical federated learning and applicable solutions. Also, detailed explanations of how federated learning techniques can be applied to the medical field are presented. About 80 reference st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9e78e002278fc91bf45e22ffe75d204
https://doi.org/10.1108/ijwis-04-2022-0080
https://doi.org/10.1108/ijwis-04-2022-0080