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. 2018 May 10;15(3):20170030.
doi: 10.1515/jib-2017-0030.

Big Data Analytics in Medicine and Healthcare

Blagoj Ristevski  1 , Ming Chen  2
Affiliations

Big Data Analytics in Medicine and Healthcare

Blagoj Ristevski et al. J Integr Bioinform. .

Abstract

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records data. We underline the challenging issues about big data privacy and security. Regarding big data characteristics, some directions of using suitable and promising open-source distributed data processing software platform are given.

Keywords: Big Data Analytics; Data Mining; Health Informatics; Healthcare Information Systems.

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Conflict of interest statement

Authors state no conflict of interest. All authors have read the journal’s Publication ethics and publication malpractice statement available at the journal’s website and hereby confirm that they comply with all its parts applicable to the present scientific work.

Figures

Figure 1:
Figure 1:
The 6 V’s of big data.
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