大数据驱动的多发慢病全景式关联分析、智能预警与决策管理

Noncommunicable disease (NCD) has become a major public health and socio-economic problem in China. At present, the prevention and control management of NCD in China has many deficiencies, such as lack of systematic thinking and integration concept of decision making and management. Actually, different NCDs are never isolated. Their occurrence and prevalence are closely related not only to the pathogenic risk factors, but also to the pathogenesis. This study selects the hypertension, diabetes, coronary heart disease, stroke , chronic obstructive pulmonary disease and closely related tumor as the research focus, which have high morbidity and mortality, which pathogenic factors and pathogenesis are associated closely. Based on the method and technologies of big data, cloud computing and internet of things, this study aims to build a health-care data system platform in order to integrate health-care multi-source data. Our targets are to panoramic identify and correlation analysis risk factors to form a coupling network of pathogenesis for multiple NCDs; establish an intelligent assessment and early warning system for multiple NCDs, and construct an intelligent intervention strategy package; and establish the “mobile internet of things + dynamic prevention and control” system to build a systematic, dynamic, personalized and whole spectrum health decision-making management paradigm. This study strives to make a theoretical and practical contribution to the construction of a new strategy for health-NCD decision-making, to reduce the morbidity, mortality and economic burden of Chinese, and to promote the construction of “Health China”.

慢病已经成为我国重大公共卫生问题和社会经济问题。目前，我国慢病防控存在诸多不足，缺乏决策与管理的系统思维、整体理念。而实际上，不同慢病从来都不是孤立的，其发生和流行不仅具有致病危险因素的密切关联性，而且发病机制之间也具有密切关联性。本研究拟选取发病率、死亡率高，致病因素、发病机制关联密切的多发慢病----高血压、糖尿病、冠心病、脑卒中、慢性阻塞性肺疾病及密切相关肿瘤----作为研究重点，基于大数据、云计算、物联网等方法与技术，搭建健康医疗数据系统平台，集成健康医疗多源数据；对多发慢病危险因素进行全景识别和关联分析，形成多发慢病发病机制耦合网络；建立多发慢病智能评估预警系统，构建多发慢病智能干预策略包；建立“移动物联+动态防控”系统，构建系统、动态、个性化的全周期健康决策管理范式。本研究力争对构建新兴健康--慢病决策管理策略，降低国人慢病发病率、死亡率和经济负担，推进“健康中国”建设做出理论和现实贡献

慢病已经成为我国重大公共卫生问题和社会经济问题。目前，我国慢病防控存在诸多不足，缺乏决策与管理的系统思维、整体理念。而实际上，不同慢病从来都不是孤立的，其发生和流行不仅具有致病危险因素的密切关联性，而且发病机制之间也具有密切关联性。本研究拟选取发病率、死亡率高，致病因素、发病机制关联密切的多发慢病----糖尿病及心、肺疾病、相关肿瘤等多发慢病----作为研究重点，基于大数据、云计算、物联网等方法与技术，搭建健康医疗数据系统平台，集成健康医疗多源数据；对多发慢病危险因素进行全景识别和关联分析，形成多发慢病发病机制耦合网络；建立多发慢病智能评估预警系统，构建多发慢病智能干预策略包；建立“移动物联+动态防控”系统，构建系统、动态、个性化的全周期健康决策管理范式。本研究力争对构建新兴健康--慢病决策管理策略，降低国人慢病发病率、死亡率和经济负担，推进“健康中国”建设做出理论和现实贡献。

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