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Opportunity and challenge of big data in improving chronic non-communicable diseases: by health system engineering approaches 被引量:4

Opportunity and challenge of big data in improving chronic non-communicable diseases: by health system engineering approaches
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摘要 Chronic non-communicable diseases (NCDs) is a sick- state in the complex system of human body. Healthsystems engineering approach can be used to recover health state by many different ways of system adjustments, including physical exercises, nutrition and psychological intervention, and drug therapies. To evaluate and assess the effects of these adjustments, many parameters of the system states have to be monitored (such as molecular high- throughput technologies, physiological, image, etc.), and estimated at the different levels (such as molecular, cellular, tissue, organ, and system levels) and on the different dimensions (such as metabolic, immune, neural, etc.) for human system. Huge data have been produced during the whole process, and health systems engineering approach will model health and sick state in the human system by detecting and analyzing these multi-dimension and multi- level big-data in order to find personal suitable adjustment method. Chronic non-communicable diseases (NCDs) is a sick- state in the complex system of human body. Healthsystems engineering approach can be used to recover health state by many different ways of system adjustments, including physical exercises, nutrition and psychological intervention, and drug therapies. To evaluate and assess the effects of these adjustments, many parameters of the system states have to be monitored (such as molecular high- throughput technologies, physiological, image, etc.), and estimated at the different levels (such as molecular, cellular, tissue, organ, and system levels) and on the different dimensions (such as metabolic, immune, neural, etc.) for human system. Huge data have been produced during the whole process, and health systems engineering approach will model health and sick state in the human system by detecting and analyzing these multi-dimension and multi- level big-data in order to find personal suitable adjustment method.
出处 《Chinese Medical Journal》 SCIE CAS CSCD 2014年第19期3361-3363,共3页 中华医学杂志(英文版)
关键词 big data health system engineering chronic non-communicable diseases big data health system engineering chronic non-communicable diseases
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  • 1黎鸣.试论唯物辩证法的拟化形式[J].中国社会科学,1981(3):3-23. 被引量:24
  • 2陈竺.系统生物学——21世纪医学和生物学发展的核心驱动力[J].世界科学,2005,27(3):2-6. 被引量:69
  • 3叶建伟,张勇,徐苓,朱大海.医学发展的未来:从基因组学到整合医学[J].中华医学杂志,2007,87(27):1873-1875. 被引量:10
  • 4Hunter DJ, Reddy KS. Noncommunicable diseases [ J ]. N Engl J Med,2013,369 (14) : 1336 - 1343.
  • 5Padhukasahasram B, Halperin E, Wessel J, et al. Presymptomatic risk assessment for chronic non-communicable diseases [ J ]. PLoS One,2010,5(12) :e14338.
  • 6中国卫牛部.全国慢性病预防控制工作规范(试行)[EB/OL],http://www, moh. gov. cn/jkj/s5878/at27a68e69df4t2c9858cho aa283433b, shtml. 2011 - 01 - 02/2013 - 06 - 01.
  • 7[美]埃克里.托普著.Thecreativedestructionofmedicine[M].张南,等译.北京:电子工业出版社,2014.
  • 8Martin Sanchez F,Verspoor K. Big data in medicine is driving big changes[ J]. Yearb Med Inform,2014,9 ( 1 ) :14 -20.
  • 9Ginsberg J, Mohebbi MH, Patel RS, et al. Detecting influenza epi-demics using search engine query data[ J]. Nature ,2008,457 (7232) :1012 - 1014.
  • 10Weber GM, Mandl KD, Isaac SK. Finding the missing link for big biomedical data[J]. JAMA,2014,311 (24) :2479 -2480.

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