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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
Challenges of Ultra Large Scale Integration of Biomedical Computing Systems
Dublin, Ireland
June 23-June 24
ISBN: 0-7695-2355-2
ASCII Text
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R. H. J. Begent, J. M. Brady, A. Finkelstein, D. Gavaghan, P. Kerr, H. Parkinson, F. Reddington, J. M. Wilkinson, "Challenges of Ultra Large Scale Integration of Biomedical Computing Systems," Computer-Based Medical Systems, IEEE Symposium on, pp. 64-69, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CBMS.2005.40,
author = {R. H. J. Begent and J. M. Brady and A. Finkelstein and D. Gavaghan and P. Kerr and H. Parkinson and F. Reddington and J. M. Wilkinson},
title = {Challenges of Ultra Large Scale Integration of Biomedical Computing Systems},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2005},
issn = {1063-7125},
pages = {64-69},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.40},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Challenges of Ultra Large Scale Integration of Biomedical Computing Systems
SN - 1063-7125
SP64
EP69
A1 - R. H. J. Begent,
A1 - J. M. Brady,
A1 - A. Finkelstein,
A1 - D. Gavaghan,
A1 - P. Kerr,
A1 - H. Parkinson,
A1 - F. Reddington,
A1 - J. M. Wilkinson,
PY - 2005
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
R. H. J. Begent, NCRI Informatics Unit
J. M. Brady, Oxford University
A. Finkelstein, University College London
D. Gavaghan, Oxford University
P. Kerr, NCRI Informatics Unit
H. Parkinson, NCRI Informatics Unit
F. Reddington, NCRI Informatics Unit
J. M. Wilkinson, NCRI Informatics Unit
The NCRI Informatics Initiative is overseeing the implementation of an informatics framework for the UK cancer research community. The framework advocates an integrated multidisciplinary method of working between scientific and medical communities. Key to this process is community adoption of high quality acquisition, storage, sharing and integration of diverse data elements to improve knowledge of the causes, prevention and treatment of cancer. The integration of the complex data and meta-data used by these multiple communities is a significant challenge and there are technical, resource-based and sociological issues to be addressed. In this paper we review progress aimed at establishing the framework and outline key challenges in ultra large scale integration of biomedical computing systems.
Citation:
R. H. J. Begent, J. M. Brady, A. Finkelstein, D. Gavaghan, P. Kerr, H. Parkinson, F. Reddington, J. M. Wilkinson, "Challenges of Ultra Large Scale Integration of Biomedical Computing Systems," cbms, pp.64-69, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005
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