Health big data analytics: A technology survey

Gaspard Harerimana, Beakcheol Jang, Jong Wook Kim, Hung Kook Park

Research output: Contribution to journalArticlepeer-review

63 Citations (Scopus)


Because of the vast availability of data, there has been an additional focus on the health industry and an increasing number of studies that aim to leverage the data to improve healthcare have been conducted. The health data are growing increasingly large, more complex, and its sources have increased tremendously to include computerized physician order entry, electronic medical records, clinical notes, medical images, cyber-physical systems, medical Internet of Things, genomic data, and clinical decision support systems. New types of data from sources like social network services and genomic data are used to build personalized healthcare systems, hence health data are obtained in various forms, from varied sources, contexts, technologies, and their nature can impede a proper analysis. Any analytical research must overcome these obstacles to mine data and produce meaningful insights to save lives. In this paper, we investigate the key challenges, data sources, techniques, technologies, as well as future directions in the field of big data analytics in healthcare. We provide a do-it-yourself review that delivers a holistic, simplified, and easily understandable view of various technologies that are used to develop an integrated health analytic application.

Original languageEnglish
Article number8510800
Pages (from-to)65661-65678
Number of pages18
JournalIEEE Access
Publication statusPublished - 2018

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea funded by the Korea Government under Grant NRF-2016R1D1A1B03930815.

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


Dive into the research topics of 'Health big data analytics: A technology survey'. Together they form a unique fingerprint.

Cite this