Artigo Acesso aberto Revisado por pares

Big Data Analytics in Medicine and Healthcare

2018; Volume: 15; Issue: 3 Linguagem: Inglês

10.1515/jib-2017-0030

ISSN

1613-4516

Autores

Blagoj Ristevski, Ming Chen,

Tópico(s)

Big Data and Business Intelligence

Resumo

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.

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