Zobrazeno 1 - 10
of 2 773
pro vyhledávání: '"Huang, Su"'
Autor:
Li, Wen-Yi, Chiu, Fu-Chun, Zeng, Jyun-Kai, Li, Yao-Wei, Huang, Su-Hua, Yeh, Hui-Chin, Cheng, Bor-Wen, Yang, Feng-Jung
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e19452 (2020)
BackgroundChronic kidney disease (CKD) is a global health burden. Self-management plays a key role in improving modifiable risk factors. ObjectiveThe aim of this study was to evaluate the effectiveness of wearable devices, a health management platfo
Externí odkaz:
https://doaj.org/article/ff2fe8ed55a54b2c875e5da3626daa71
Autor:
Cheng, Vivian Ya-Wen, Huang, Chiu-Mieh, Liao, Jung-Yu, Hsu, Hsiao-Pei, Wang, Shih-Wen, Huang, Su-Fei, Guo, Jong-Long
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 7, p e17096 (2020)
BackgroundIn Taiwan, which has one of the most rapidly aging populations in the world, it is becoming increasingly critical to promote successful aging strategies that are effective, easily usable, and acceptable to institutionalized older adults. Al
Externí odkaz:
https://doaj.org/article/db94806f2a67472ea71ed7187f47a53b
Autor:
Hung, Hung, Huang, Su-Yun
This article studies the robustness of the eigenvalue ordering, an important issue when estimating the leading eigen-subspace by principal component analysis (PCA). In Yata and Aoshima (2010), cross-data-matrix PCA (CDM-PCA) was proposed and shown to
Externí odkaz:
http://arxiv.org/abs/2302.11124
Autor:
Huang, Su-Wen1,2 (AUTHOR) dale33663366@gmail.com, Chiou, Shyue-Yow1 (AUTHOR) yow0819@vghtc.gov.tw, Chen, Rung-Ching2 (AUTHOR) crching@cyut.edu.tw, Sub-r-pa, Chayanon2 (AUTHOR) crching@cyut.edu.tw
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p4020. 16p.
Principal component analysis (PCA) is one of the most popular dimension reduction methods. The usual PCA is known to be sensitive to the presence of outliers, and thus many robust PCA methods have been developed. Among them, the Tyler's M-estimator i
Externí odkaz:
http://arxiv.org/abs/2206.03662
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering complications and cost
Externí odkaz:
https://doaj.org/article/43e133319ead45f8833f2ea8075e98bb
Publikováno v:
China Forest Products Industry. May2024, Vol. 61 Issue 5, p70-76. 8p.
Autor:
Huang, Su, Fu, Tianyu, Han, Xiaowei, Fan, Jingfan, Song, Hong, Xiao, Deqiang, Ma, Guolin, Yang, Jian
Publikováno v:
In Knowledge-Based Systems 19 July 2024 296
Publikováno v:
In Journal of Alloys and Compounds 15 May 2024 984
Autor:
An-Sheng Lee, Yen-Ling Sung, Szu-Hua Pan, Kuo-Tzu Sung, Cheng-Huang Su, Shiao-Li Ding, Ying-Jui Lu, Chin-Ling Hsieh, Yun-Fang Chen, Chuan-Chuan Liu, Wei-Yu Chen, Xuan-Ren Chen, Fa-Po Chung, Shih-Wei Wang, Che-Hong Chen, Daria Mochly-Rosen, Chung-Lieh Hung, Hung-I Yeh, Shien-Fong Lin
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-15 (2023)
Abstract Chronic heavy alcohol use is associated with lethal arrhythmias. Whether common East Asian-specific aldehyde dehydrogenase deficiency (ALDH2*2) contributes to arrhythmogenesis caused by low level alcohol use remains unclear. Here we show 59
Externí odkaz:
https://doaj.org/article/d4292105e62146ef9184cd38ab39ac07