Zobrazeno 1 - 10
of 720
pro vyhledávání: '"Cheung, Ying"'
An N-of-1 trial is a multi-period crossover trial performed in a single individual, with a primary goal to estimate treatment effect on the individual instead of population-level mean responses. As in a conventional crossover trial, it is critical to
Externí odkaz:
http://arxiv.org/abs/2112.13991
Publikováno v:
In Journal of Economic Behavior and Organization March 2024 219:450-472
Autor:
Ziman Chen, Tin Cheung Ying, Jiaxin Chen, Chaoqun Wu, Liujun Li, Hui Chen, Ting Xiao, Yongquan Huang, Xuehua Chen, Jun Jiang, Yingli Wang, Wuzhu Lu, Zhongzhen Su
Publikováno v:
Renal Failure, Vol 45, Iss 1 (2023)
AbstractBackground Given its progressive deterioration in the clinical course, noninvasive assessment and risk stratification for the severity of renal fibrosis in chronic kidney disease (CKD) are required. We aimed to develop and validate an end-to-
Externí odkaz:
https://doaj.org/article/d702a13c8ef944968132bfef99e8a4ea
Autor:
Simon Takadiyi Gunda, Jerica Hiu-Yui Yip, Veronica Tsam-Kit Ng, Ziman Chen, Xinyang Han, Xiangyan Chen, Marco Yiu-Chung Pang, Michael Tin-Cheung Ying
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 5, p 1507 (2024)
The early and accurate stratification of intracranial cerebral artery stenosis (ICAS) is critical to inform treatment management and enhance the prognostic outcomes in patients with cerebrovascular disease (CVD). Digital subtraction angiography (DSA)
Externí odkaz:
https://doaj.org/article/b0556087f0a441268e3eb380620c4771
Autor:
Simon Takadiyi Gunda, Tsam Kit Veronica Ng, Tsz-Ying Liu, Ziman Chen, Xinyang Han, Xiangyan Chen, Marco Yiu-Chung Pang, Michael Tin-Cheung Ying
Publikováno v:
Diagnostics, Vol 14, Iss 4, p 387 (2024)
Cerebrovascular disease (CVD) poses a major public health and socio-economic burden worldwide due to its high morbidity and mortality rates. Accurate assessment of cerebral arteries’ haemodynamic plays a crucial role in the diagnosis and treatment
Externí odkaz:
https://doaj.org/article/74df32e11acd4aef83c18629a56e4c43
This paper presents a new statistical method for clustering step data, a popular form of health record data easily obtained from wearable devices. Since step data are high-dimensional and zero-inflated, classical methods such as K-means and partition
Externí odkaz:
http://arxiv.org/abs/2010.07462
We address the personalized policy learning problem using longitudinal mobile health application usage data. Personalized policy represents a paradigm shift from developing a single policy that may prescribe personalized decisions by tailoring. Speci
Externí odkaz:
http://arxiv.org/abs/2001.03258
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.