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  • 标题:Managing Data Diversity on the Internet of Medical Things (IoMT)
  • 本地全文:下载
  • 作者:Iram Mehmood ; Sidra Anwar ; AneezaDilawar
  • 期刊名称:International Journal of Information Technology and Computer Science
  • 印刷版ISSN:2074-9007
  • 电子版ISSN:2074-9015
  • 出版年度:2020
  • 卷号:12
  • 期号:6
  • 页码:49-56
  • DOI:10.5815/ijitcs.2020.06.05
  • 出版社:MECS Publisher
  • 摘要:In the healthcare industry, the Internet of Medical Services (IOMT) plays a vital role throughout the increasing performance, reliability, and efficiency of an electronic device. Healthcare is also characterized as being complicated due to its highly diverse and large number of shareholders. Data diversity refers to the continuum of various types of elements in the data. The integration of data is difficult where different sources can adopt different identification for the same entity, but there is no explicit connection. Researches are contributing to a digitized Health care system through interconnections available medical resources and health care services. This Research presents the contribution of IoT to people in the field of Healthcare, highlighting the issues in different data integration, analysis of the existing algorithms and models, applications, and future challenges of IoT in terms of healthcare medical services. Big data analytics that incorporates millions of fragmented, organized, and unstructured sources of data will play a key role in how health care will be delivered in the future.
  • 关键词:Big data;internet of medical things;diversity
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