Abstract
Health-care-related research and practice often produce tremendous amounts of data. These are usually geographically distributed among hospitals, clinics, research labs, radiology centres, etc. For research, training, or clinical purposes, physicians and medical researchers often need to consult and analyse medical data from distributed sites. Anefficient software and hardware infrastructure to support on-demand information extraction as well as automated data integration and analysis in a real-time manner would provide significant convenience and is therefore increasingly needed. However, due to the sensitive nature of these data and the lack of an effective integration approach, medical data are often stored and archived within individual sites and are usually disconnected from the outside network in order to enforce security issues.
This research was supported in part by NIH grant R13LM008619.
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References
Berman F, Fox G, Hey T (2003) Grid computing: making the global infrastructure a reality. John Wiley & Sons, Brisbane
Foster I, Kesselman C (1999) The grid: blueprint for a new computing infrastructure. Morgan Kaufmann, San Francisco
Green M, Miller R (2004) Molecular structure determination on a computational and data grid. Proc 4-th IEEE/ACM Symposium on Cluster Computing and the Grid — BioGrid Workshop, CD-ROM
Stockinger H, Samar A, Allcock B et al (2001) File and object replication in data grids. Proceedings of 10th IEEE Symposium on High Performance and Distributed Computing (HPDC)
Lee C-W, Huang C-H, Rajasekaran S (2003) TROJAN: a scalable parallel semantic network system. Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, pp 219–223
Lindberg D, Humphreys B, McCray A (1993) The unified medical language system. Methods Inf Med 32(4):281–291
McCray A, Srinivasan S, Browne A (1994) Lexical methods for managing variation in biomedical terminologies. Proc Annual Symposium Compu Appl Med Care, pp 235–239
Lee C-W, Huang C-H, Yang L et al (2004) Path-based distributed knowledge inference in semantic networks, J Supercomputing 29(2):211–227
Balla S, Thapar V, Huang C-H et al (2005) SMS: A new tool for investigating protein functions. Nat Methods (In press)
Butler R, Engert D, Foster I et al (2000) A national-scale authentication infrastructure. IEEE Transactions on Computer 33(12):60–66
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© 2006 Springer-Verlag Italia
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Huang, C.H. (2006). BioGrid: a collaborative environment for Life Science Research. In: Gullo, A. (eds) Anaesthesia, Pain, Intensive Care and Emergency A.P.I.C.E.. Springer, Milano. https://doi.org/10.1007/88-470-0407-1_10
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DOI: https://doi.org/10.1007/88-470-0407-1_10
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