Big Data for Health
File(s)
Published version
OA Location
Author(s)
Andreu Perez, J
C. Y. Poon, C
Merrifield, R
Guang-Zhong, Y
Type
Journal Article
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 disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.
Date Issued
2015-07-10
Date Acceptance
2015-06-22
Citation
IEEE Journal of Biomedical and Health Informatics, 2015, 19 (4), pp.1193-1208
ISSN
2168-2194
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
1193
End Page
1208
Journal / Book Title
IEEE Journal of Biomedical and Health Informatics
Volume
19
Issue
4
Copyright Statement
This article is freely available at https://dx.doi.org/10.1109/JBHI.2015.2450362
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/H009744/1
EP/M000257/1
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Medical Informatics
Computer Science
Big data
bioinformatics
health informatics
medical imaging
medical informatics
precision medicine
sensor informatics
social health
DEEP-BRAIN-STIMULATION
PULSE TRANSIT-TIME
BLOOD-PRESSURE
QUANTUM DOTS
COLORECTAL-CANCER
DRUG-SENSITIVITY
HUMAN CONNECTOME
SENSOR NETWORKS
EVEROLIMUS SENSITIVITY
SOCIAL NETWORKS
Computational Biology
Databases, Factual
Diagnostic Imaging
Humans
Publication Status
Published