健康管理对预防控制疾病和遏制医疗费用过度增长起重要作用, 健康体检是实现疾病早期预防和开展健康管理的重要方式和信息来源，但海量体检数据却 “沉睡”或“闲置”着。.新疆现有健康管理模式主要以医院体检中心实施的年度体检、疾病诊治及健康教育为主。专业健康体检机构起步较晚但发展迅速，欲突破常规体检管理，实现真正健康管理，尚缺乏区域化精准化的健康风险评估系统，缺乏科学化定量化的健康管理系统构建与评估。.本研究基于健康体检大数据，拟建立新疆特色的健康体检数据仓库和自然人群队列；采用数据挖掘技术和复杂统计模型研究新疆汉、维、哈、回等不同民族各年龄段人群的健康现状和疾病谱；应用健康危险因素潜变量分析技术进行个体化和群体化健康风险评估；针对性地开展健康监测与干预服务，促进医疗保健和疾病预防的个性化和精准化。并以代谢综合征为切入点，对构建的健康管理模式进行定量定性评估与评价，为推广和应用提供科研依据和参考。

Health management is very important for prevention and control disease and containment excessive growth of medical expense. The annual health check-up is important method and information for early implementation of disease prevention and health management, but massive check-up data are put aside and hardly utilize for data mining..At present, annual physical examination, diagnosis and treatment of diseases, and health education carried out by health examination center of hospitals are major health management mode in Xinjiang. The Professional health medical institutions are developing rapidly while they set up several years early. There is still lack of accurate health risk assessment system accommodating with regional and nationality characteristics, and it need to construct and appraise health management system quantitatively in order to invert the routine physical examination management into real health management in Xinjiang. .In our research, data warehouse and natural population cohort of urban residents will be established in the base of the big data of health checkups in Xinjiang. We want to describe the health status and disease spectrum at different age level for Han, Uygur, Kazak, Hui nationality residents by using data mining techniques and complex statistical models. Individual and group health risk models will be build to assess risk factors effect on health condition by latent variable analysis techniques, according to those health monitoring and intervention services will be carried out for individuality and precision of health care and disease prevention. Qualitative and quantitative assessment systems will be applied to appraise the new health management mode in the case of metabolic syndrome, which will provide scientific baseline and reference for promotion and application of health management.