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.
| Original language | English |
|---|---|
| Title of host publication | Emerging Technologies in Knowledge Discovery and Data Mining - PAKDD 2007 International Workshops, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 131-141 |
| Number of pages | 11 |
| ISBN (Print) | 354077016X, 9783540770169 |
| DOIs | |
| State | Published - 2007 |
| Event | Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 - Nanjing, China Duration: 22 May 2007 → 22 May 2007 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4819 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 22/05/07 → 22/05/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- DM tool
- Decision support
- Dynamical model
- HIV epidemic
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