Big Data Analytics in Medicine and Healthcare

Ristevski, Blagoj and Chen, Ming (2018) Big Data Analytics in Medicine and Healthcare. Journal of Integrative Bioinformatics, 15 (3). pp. 1-5. ISSN 1613-4516

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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.

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Mrs Natasha Tabakovska
Date Deposited: 15 Jan 2020 14:25
Last Modified: 15 Jan 2020 14:27
URI: http://eprints.uklo.edu.mk/id/eprint/2329

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