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Exploitation of 'Big Data': The experience feedback of the french military health service on sanitary data

机译:开发“大数据”:法国军事保健服务对卫生数据的经验反馈

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In recent years, the number of data circulating on the Internet has exploded causing the phenomenon of "Big Data". In the health field, the mass of data circulating on the Internet has also become bloated. From a study conducted within the french medical health service, this article aims to explore the construction of knowledge generated by the "Sanitary Big Data". It analyzes the creation of value made and the limitations of this “ Big Data". The result is a an exploitation of polymorphic data mainly from global programs for infectious disease surveillance including PromedMail and Sentiweb. It shows the use of data from clinical trials of the Cochrane Library and the use of data of social medias and social networks. This real time data are exhautive of the population's health status. It also shows the construction of knowledge, which quickly reveals the emergence of diseases that may affect the forces in operation, as in 2009, during the H1N1 pandemic. We may also mention the anticipation of new pharmaceutical innovations, for example to detect the effectiveness of new treatments, such as in the context of the current epidemic of Ebola. As main limitations, it shows a data mining that does not offer interpretation of results and potential ethical drifts on handling health data.
机译:近年来,在互联网上传播的数据数量已爆炸导致“大数据”现象。在健康领域,在互联网上传播的数据量也臃肿。从法国医疗保健服务中进行的一项研究,本文旨在探讨“卫生大数据”产生的知识建设。它分析了创造价值和这种“大数据”的局限性。结果是主要来自全球传染病监测程序的多态性数据,包括ProMedmail和Sentiweb。它显示了来自临床试验的数据Cochrane图书馆与社交媒体和社交网络的数据。这个实时数据是人口的健康状况。它还显示了知识的构建,这迅速揭示了可能影响势力的疾病的出现,如2009年,在H1N1大流行期间。我们也可能提到预期新的药物创新,例如检测新治疗的有效性,例如在目前埃博拉的环境中。作为主要限制,它显示了数据挖掘这并不提供对处理健康数据的结果和潜在的道德漂移的解释。

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