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  • 标题:Bigdata Analysis In Health Care
  • 本地全文:下载
  • 作者:L. Pravin Kumar ; Ramesh Krishnan
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:11
  • 页码:14941-14945
  • DOI:10.18535/Ijecs/v4i1.10
  • 出版社:IJECS
  • 摘要:Introducing the new information of massive information for belief apprehension of large-volume, complex,growing information sets with many autonomous sources. HACE theorem that characterizes the options of massiveinformation revolution and perform the operation in data processing perspective.huge information e-Health Serviceapplication has secure to rework the whole care cardiovascular disease method to become additional economical, lesscostly and better quality. This application involves data-driven model demand-driven aggregation of knowledge sources.huge information is reworking care, business, as e-Health cardiovascular disease becomes one among key driving factorsthroughout the innovation method. look at BDeHS (Big information e-Health Service) to fulfil the massive informationapplications within the e-Health service domain. Existing data processing technologies such can not be merely applied to e-Health services directly. Our style of the BDeHS for cardiovascular disease that provides information operationmanagement capabilities and e-Health meaningful usages
  • 关键词:Big Data Technologies; e-Health Solutions; Big;Data as a Service; Service Support Infrastructure; e-;Health; Data Operation Management; Regulatory;Compliance.
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