Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Tian-Hsiang Huang"'
Autor:
Wen-Hsien Ho, Tian-Hsiang Huang, Yenming J. Chen, Lang-Yin Zeng, Fen-Fen Liao, Yeong-Cheng Liou
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2023)
Abstract Background Antibiotic resistance has become a global concern. Vancomycin is known as the last line of antibiotics, but its treatment index is narrow. Therefore, clinical dosing decisions must be made with the utmost care; such decisions are
Externí odkaz:
https://doaj.org/article/3f72744d888042fa8e5abb8dc6b62ddb
Autor:
Wen-Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang, Jyh-Horng Chou, Hong-Siang Huang, Li-Chung Chi, Fu-I Chou, Jinn-Tsong Tsai
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-10 (2021)
Abstract Background The prevalence of chronic disease is growing in aging societies, and artificial-intelligence–assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (
Externí odkaz:
https://doaj.org/article/2824bc515e364981b4db36e5370d1485
Autor:
Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yen-Ming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-12 (2021)
Abstract Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that
Externí odkaz:
https://doaj.org/article/dc335e28fd3c4e2a84533e1c01858bbd
Autor:
Wen-Hsien Ho, Tian-Hsiang Huang, Po-Yuan Yang, Jyh-Horng Chou, Jin-Yi Qu, Po-Chih Chang, Fu-I. Chou, Jinn-Tsong Tsai
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2021)
Abstract Background Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective me
Externí odkaz:
https://doaj.org/article/c619fe36f26449518864407d71102bcc
Autor:
Fu-I Chou, Tian-Hsiang Huang, Po-Yuan Yang, Chin-Hsuan Lin, Tzu-Chao Lin, Wen-Hsien Ho, Jyh-Horng Chou
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11517 (2021)
This study proposes a method to improve fractional-order particle swarm optimizer to overcome the shortcomings of traditional swarm algorithms, such as low search accuracy in a high-dimensional space, falling into local minimums, and nonrobust result
Externí odkaz:
https://doaj.org/article/489c9d3fa69c46e7b8519cbd135e5e55
Publikováno v:
International Journal of Engineering & Technology Innovation; Apr2024, Vol. 14 Issue 2, p177-188, 12p
Autor:
Ming-Chung Chou, Tian-Hsiang Huang, Jinn-Tsong Tsai, Yen-Ming J. Chen, Kao-Shing Hwang, Wei-Tai Huang, Wen-Hsien Ho
Publikováno v:
Journal of Imaging Science and Technology. :040402-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::696a99c307055122a82738ba9dca1777
https://doi.org/10.2352/j.imagingsci.technol.2023.67.4.040402
https://doi.org/10.2352/j.imagingsci.technol.2023.67.4.040402
Autor:
Chen-Sen Ouyang, Yiu-Jen Chang, Yuan-Chih Ho, Kao-Shing Hwang, Jinn-Tsong Tsai, Wen-Hsien Ho, Tian-Hsiang Huang, Yenming J. Chen
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:7901-7908
Atrial fibrillation (AF) is a type of paroxysmal cardiac disease that presents no obvious symptoms during onset, and even the electrocardiograms (ECG) results of patients with AF appear normal under a premorbid status, rendering AF difficult to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1afb2298bc4133df37a555128e65cb8
https://doi.org/10.3233/jifs-189612
https://doi.org/10.3233/jifs-189612
Autor:
Jin-Yi Qu, Tian-Hsiang Huang, Jyh-Horng Chou, Wen-Hsien Ho, Fu-I Chou, Po-Yuan Yang, Po-Chih Chang, Jinn-Tsong Tsai
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2021)
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-11 (2021)
Background Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective method. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f8946a136043d6045a4ddbbf5232763
https://doi.org/10.1186/s12859-021-04032-8
https://doi.org/10.1186/s12859-021-04032-8
Autor:
Fu-I Chou, Li-Chung Chi, Po-Yuan Yang, Tian-Hsiang Huang, Hong-Siang Huang, Jinn-Tsong Tsai, Wen-Hsien Ho, Jyh-Horng Chou
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-10 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background The prevalence of chronic disease is growing in aging societies, and artificial-intelligence–assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (ResNet) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c7c70a50bd0d8ba30356332eb2175cf
https://doi.org/10.1186/s12859-021-04085-9
https://doi.org/10.1186/s12859-021-04085-9