Big data

Health care

Analytics

Biology

Variety (cybernetics)

Software construction

Economics

Data mining

Computer science

Pharmacogenomics

Software

Software analytics

Bioinformatics

Data type

Precision medicine

Data science

Artificial intelligence

Medicine

Programming language

Economic growth

Data analysis

Software development

Pathology

Journal of Integrative Bioinformatics

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.

Big Data Analytics in Medicine and Healthcare