Big Data for Health
Imperial College London · Chinese University of Hong Kong · +3 more institutions
Abstract
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about…
Citation impact
- FWCI
- 135.54
- Percentile
- 100%
- References
- 147
Authors
5Topics & keywords
- Big data
- Data science
- Health informatics
- Informatics
- Computer science
- Translational bioinformatics
- Context (archaeology)
- Translational research informatics