We are a multidisciplinary research team combining system engineering, public health, statistics and computer science on health-related research.
Team members are from Stanley Ho Big Data Decision Analytics Research Centre and Faculty of Medicine, CUHK.
02/03/2017
進取型降血壓藥非人人適用——「晴報」對我們研究的報導http://skypost.ulifestyle.com.hk/article/1672297/%E9%80%B2%E5%8F%96%E5%9E%8B%E9%99%8D%E8%A1%80%E5%A3%93%E8%97%A5%E9%9D%9E%E4%BA%BA%E4%BA%BA%E9%81%A9%E7%94%A8
進取型降血壓藥非人人適用 - 香港經濟日報 - 晴報 - 港聞 - 要聞 高血壓可增加中風及心血管疾病風險。中大醫學院首次利用大數據研究分析，發現在藥物療效有限及嚴重副作用風險增加結果下，血壓起
28/02/2017
Last minute! Vote for Hong Kong research! The voting will close by the end of 28 Feb (UK time), just hours left. Please vote for us, the only HK research team out of 140+ top research teams from around the world in an international challenge now:
https://challenge.nejm.org/posts/5796...
Visit-to-Visit Blood Pressure Variability on Major Cardiovascular Events with Intensive Blood-Pressure Control in the SPRINT Trial | The SPRINT Data Analysis Challenge—Challenge Round This study identified the association between visit-to-visit blood pressure (BP) variation and the primary outcomes of cardiovascular events with respect to the intensive treatment. Data patterns in BP variation were derived by machine learning techniques, i.e. an artificial intelligence algorithm.…
28/02/2017
Use network modeling and machine learning approaches to unravel the causal relationships in unhealthy eating? This is realized by the Think Slim Project developed by Maastricht University, the Netherlands. Today Prof. Jerry Spanakis from the research team shared how they developed this project in four years and the research findings at BDDA, CUHK, inspiring audience from various disciplines.
Follow our FB page to watch live of his talk, and more wisdom sharing events in future!
28/02/2017
A lecture about machine learning will be hold today , CUHK, all are welcome!
27/02/2017
Our research that applies big data techniques to analyze the side effects of high blood pressure medication was widely reported by HK media in recent days. Here is the report by South China Morning Post:
http://m.scmp.com/news/hong-kong/health-environment/article/2074161/severe-side-effects-possible-those-taking-strong
‘Severe side effects possible for those suffering high blood pressure’ Chinese University researchers warn about the consequences of those taking aggressive action to bring their blood pressure down to more normal levels
27/02/2017
東方日報報導我們的研究成果
http://hk.on.cc/hk/bkn/cnt/news/20170227/bkn-20170227000032693-0227_00822_001.html
Dr.東：大數據揭高血壓起伏大 早晚量防險 高血壓被稱為「隱形殺手」，病人若沒按時服藥，或受寒冷氣溫影響，血壓或持續「大起大落」，可增加中風及心臟病風險。香港中文大
「中大首創大數據分析血壓藥效」-- 香港經濟日報報導我們的研究
http://topick.hket.com/article/1672233/中大首創%E3%80%80大數據分析血壓藥效
27/02/2017
Our team leader Prof. Tsoi interviewed by Apple Daily
http://hk.apple.nextmedia.com/news/art/20170227/19941345
血壓高而不穩 用重藥添副作用 中大研究指療效有限 【本報訊】在大數據（Big Data）時代，醫療研究亦用海量數據來分析治療方案。本港有逾86萬名高血...
27/02/2017
Here is HK01 's report about our research
https://www.facebook.com/permalink.php?story_fbid=118623391995905&id=100015447330622
高血壓病人服藥或仍血壓起伏不定 醫生提醒每日兩次量血壓 中文大學何鴻燊海量數據決策分析研究中心、賽馬會公共衞生及基層醫療學院，去年11月利用大數據分析方法，分析8,092名50 歲或以上高血壓人士的血壓變化……
We are a multidisciplinary research team that combines system engineering, public health, statistics and computer science on health-related research.
Our team members are from Stanley Ho Big Data Decision Analytics Research Centre and Faculty of Medicine, The Chinese University of Hong Kong.
We will post our latest research finding as well as other cutting-edge research on public health, big data and machine learning on this FB page, so please like and follow our FB page now!
