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Log files analysis to assess the use and workload of a dynamic web server dedicated to end-stage renal disease
Mohamed Ben Said1, Loic Le Mignot, Jean Baptiste Richard
1Université Paris 5 R. Descartes, UPRES EA 222, AP-HP, Service de Biostatistique et d'Informatique Médicale, Hôpital Necker-Enfants Malades, Paris, France.
Abstract:
A Multi-Source Information System (MSIS), has been designed for the Renal Epidemiology and Information Network (REIN) dedicated to End-Stage Renal Disease (ESRD). MSIS aims at providing reliable follow-up data for ESRD patients. It is based on an n-tier architecture, made out of a universal client, a dynamic Web server connected to a production database and to a data warehouse. MSIS is operational since 2002 and progressively deployed in 9 regions in France. It includes 16,677 patients. We show that the analysis of MSIS web log files allows evaluating the use of the system and the workload in a public-health perspective.
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