Abstract
The paper describes XML-based information structures (meta-models) and software services both developed to search, collect and aggregate data of drug clinical usage and represent the information to users in a comprehensible way. These tools provide biomedical professionals with more complete, detailed and actual information on possible adverse events related to drug administration and thus support the evidence-based pharmacology and more personalized healthcare. Grid provides implementation of these tools on base of multi-agent system technology enabling information processing in loosely coupled data space.
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Zhuchkov, A., Tverdokhlebov, N., Alperovich, B., Kravchenko, A. (2007). Distributed Processing of Clinical Practice Data in Grid Environment for Pharmacotherapy Personalization and Evidence-Based Pharmacology. In: Thulasiraman, P., He, X., Xu, T.L., Denko, M.K., Thulasiram, R.K., Yang, L.T. (eds) Frontiers of High Performance Computing and Networking ISPA 2007 Workshops. ISPA 2007. Lecture Notes in Computer Science, vol 4743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74767-3_45
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DOI: https://doi.org/10.1007/978-3-540-74767-3_45
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