Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kei-Shing Ng"'
Autor:
Kitty Yu-Yeung Lau, Kei-Shing Ng, Ka-Wai Kwok, Kevin Kin-Man Tsia, Chun-Fung Sin, Ching-Wan Lam, Varut Vardhanabhuti
Publikováno v:
Frontiers in Medicine, Vol 8 (2022)
BackgroundTo better understand the different clinical phenotypes across the disease spectrum in patients with COVID-19 using an unsupervised machine learning clustering approach.Materials and MethodsA population-based retrospective study was conducte
Externí odkaz:
https://doaj.org/article/29085441883d4dea818d456b84f346b0
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1390 (2022)
The study population contains 145 patients who were prospectively recruited for coronary CT angiography (CCTA) and fundoscopy. This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Da
Externí odkaz:
https://doaj.org/article/c06c9656c47a422e849df02c947a8072
Autor:
Jie Lian, Fan Huang, Xinhai Huang, Kitty Yu-Yeung Lau, Kei Shing Ng, Carlin Chun Fai Chu, Simon Ching Lam, Mohamad Koohli-Moghadam, Varut Vardhanabhuti
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Predicting an individual’s risk of death from COVID-19 is essential for planning and optimising resources. However, since the real-world mortality rate is relatively low, particularly in places like Hong Kong, this makes buildin
Externí odkaz:
https://doaj.org/article/20984507519c41459606b435c1104f6f
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionThe COVID-19 pandemic, driven by SARS-CoV-2, has made vaccination a critical strategy for global control. However, vaccine hesitancy, particularly among certain age groups, remains a significant barrier to achieving herd immunity.MethodsT
Externí odkaz:
https://doaj.org/article/d680ebb089e04e6a91d701997dceedb1
Publikováno v:
Frontiers in Public Health; 2024, p01-11, 11p
Autor:
Kei Shing Ng, Jeffrey Man Hin Hon, Stephen Chau Chun Chong, Howard Ho Kan Cheung, Jeffrey Chan, Simon Ching Lam, Benny Yiu Chung Hon
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
This study aims to propose a pooling approach to simulate the compulsory universal RT-PCR test in Hong Kong and explore the feasibility of implementing the pooling method on a household basis. The mathematical model is initially verified, and then th
Externí odkaz:
https://doaj.org/article/89278905e0c3496083d1a99183418ac2
Autor:
Varut Vardhanabhuti, Kei Shing Ng
Publikováno v:
International Journal of Radiation Oncology, Biology, Physics
PURPOSE: A reduction in cancer services during the COVID-19 pandemic has impacted cancer diagnosis. The purpose of this study is to quantitatively determine the impact on cancer diagnostic service in public facilities across Hong Kong. Quantifying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23163be04666f082367b15f0ba2d5f0d
https://doi.org/10.1016/j.ijrobp.2021.05.010
https://doi.org/10.1016/j.ijrobp.2021.05.010
Publikováno v:
Diagnostics; Volume 12; Issue 6; Pages: 1390
The study population contains 145 patients who were prospectively recruited for coronary CT angiography (CCTA) and fundoscopy. This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::676cd369dc40c091ff939029c45de5cd
https://pubmed.ncbi.nlm.nih.gov/35741200
https://pubmed.ncbi.nlm.nih.gov/35741200
Autor:
Jie Lian, Yonghao Long, Fan Huang, Kei Shing Ng, Faith M. Y. Lee, David C. L. Lam, Benjamin X. L. Fang, Qi Dou, Varut Vardhanabhuti
Publikováno v:
Frontiers in oncology. 12
BackgroundLung cancer is the leading cause of cancer-related mortality, and accurate prediction of patient survival can aid treatment planning and potentially improve outcomes. In this study, we proposed an automated system capable of lung segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1d20f155797e98961a09708bdab9970
https://pubmed.ncbi.nlm.nih.gov/35936706
https://pubmed.ncbi.nlm.nih.gov/35936706
Autor:
Kitty Yu-Yeung Lau, Kei-Shing Ng, Ka-Wai Kwok, Kevin Kin-Man Tsia, Chun-Fung Sin, Ching-Wan Lam, Varut Vardhanabhuti
Publikováno v:
Frontiers in medicine. 8
BackgroundTo better understand the different clinical phenotypes across the disease spectrum in patients with COVID-19 using an unsupervised machine learning clustering approach.Materials and MethodsA population-based retrospective study was conducte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26e4d6a1d50a1e153718f656f82050e
https://pubmed.ncbi.nlm.nih.gov/35284429
https://pubmed.ncbi.nlm.nih.gov/35284429