Big Data Analytics in Medicine and Healthcare.

Big Data Analytics in Medicine and Healthcare. J Integr Bioinform. 2018 May 10;: Authors: Ristevski B, Chen M 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. PMID: 29746254 [PubMed - as supplied by publisher]
Source: Journal of integrative bioinformatics - Category: Bioinformatics Tags: J Integr Bioinform Source Type: research