Alternative A(H1N1) suspects management

Authors:
Dan Adrian Marior;Radu Zglimbea;Constantin Cârciumaru
Affiliations:
Department of Automation and Department of Computer Science, University of Craiova, Craiova, Romania;Department of Automation and Department of Computer Science, University of Craiova, Craiova, Romania;Department of Automation and Department of Computer Science, University of Craiova, Craiova, Romania
Venue:
WSEAS Transactions on Computers
Year:
2010

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Abstract

This paper deals with the differential diagnostics process behind the verdict of AH1N1 infection or not for the swine flu suspects. The application was designed as a support for doctors was built with ASP.NET 3.5 technology, the broad spectrum development platform, and it enabled us to create a web application that could be accessible from anywhere on the internet, assist the doctor in the diagnostics process, filter out false positives, manage the patients, and also generate sets of statistical charts for case evolution analysis.