Abstract
To explore more effective policies on HIV epidemic control, this paper designs a new HIV data mining tool for decision-making support at the basis of SIR epidemic dynamical model, and then make it operate in the context of Shenzhen China from 1992 to 2005. Its predicting function proves power and effective by comparing with GM( 1,1) model and general dynamical model, and its identifying function and prioritizing function also pass the test in Shenzhen context. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Liu, H., Xiao, Q., & Zhu, Z. (2007). The HIV data mining tool for government decision-making support. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4819 LNAI, pp. 131–141). Springer Verlag. https://doi.org/10.1007/978-3-540-77018-3_15
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