Abstract
陈金宏,何耀,秦银河.心血管病预测模型研究进展[J].Chinese journal of Epidemiology,2010,31(11):1311-1314
心血管病预测模型研究进展
A review of cardiovascular disease prediction model at home and abroad
Received:April 06, 2010  
DOI:
KeyWord: 心血管病  预测模型
English Key Word: Cardiovascular disease  Disease Prediction model
FundProject:中央保健科研课题(06H050); H家科技支撑计划 (2009BA丨86B0U;军队“十一五”课题(06L037);首都医学发展基金 重点项 H( 2007-2039)
Author NameAffiliationE-mail
CHEN Jin-hong The Armed Police General Hospital, Beijing 100039, China  
HE Yao The General Hospital of PLA yhe301@sina.com 
QIN Yin-he The General Hospital of PLA cjh007@126.com 
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Abstract:
      20世纪六七十年代,大多数工业化国家冠心病的死亡率急剧上升,并达到高峰。为预测个人冠心病发病风险,有针对性地采取干预措施,西方国家开发出以弗明汉模型(Fmmingham model)为代表的多种心脑血管疾病预测模型,这砦模型的应用方便了临床诊断和防治,提高了’公众对疾病危险闪素的认识,且有利于卫生资源合理分配。
English Abstract:
      To investigate the application of WSARE (What's Strange About Recent Events) algorithm in early warning on outbreaks of infectious diseases and to explore the multi?dimensional statistical methods for the detection of infectious diseases outbreak. Using WSARE algorithms based on historical data and Bayesian Network as baseline respectively, to analyze data on measles by mimicking the real-time monitoring and early warning system in Bao, an district, Shenzhen city, in 2007. WSARE algorithms were considered to be effective and timely in detecting the abnormally increase of measles among special population. WSARE algorithm could timely detect the abnormal increase of diseases among special local populations, thus having important value in the application of early warning system during the outbreak of infectious diseases.
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