Big Data Analytics in Medicine and Healthcare

Journal of Integrative Bioinformatics

Chen Ming¹  Ristevski Blagoj² 

[1] Department of Bioinformatics, College of Life Sciences, Zhejiang University Zijingang Campus, Hangzhou, P.R. China;“St. Kliment Ohridski” University – Bitola, Faculty of Information and Communication Technologies, ul. Partizanska bb, 7000 Bitola, Republic of Macedonia;

关键词: big data analytics;    data mining;    health informatics;    healthcare information systems;   

DOI  :  10.1515/jib-2017-0030

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown