Big Data Analytics in Medicine and Healthcare
2018; Volume: 15; Issue: 3 Linguagem: Inglês
10.1515/jib-2017-0030
ISSN1613-4516
Autores Tópico(s)Big Data and Business Intelligence
ResumoThis 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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