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Application of Data Mining to Identify Patterns in VCT Dataset   Kinfe Wubetu

Application of Data Mining to Identify Patterns in VCT Dataset

60 страниц. 2013 год.
LAP Lambert Academic Publishing
Voluntary Counseling and Testing (VCT) is an important intervention and entry point in the prevention, control and management of the human immunodeficiency virus (HIV. But, the documentation process of VCT logbooks and dataset has given little attention on the identification of the VCT user’s patterns and the outcome of the test results in Ethiopia. So, assessment of patterns in VCT outcomes using classification and association techniques of data mining is important for proper intervention. Based on the result of this study, physical status, reason to test, marital status, history of STIs,age and sex of the VCT clients are the optimal classifiers of HIV test result. From the association rules, females are more exposed for HIV infection and there is high HIV prevalence in 25-29 years age groups. Sothat data mining can apply to identify interesting patterns that help HIV and AIDS prevention and affected people care and support program. Thus, HIV care and support as well as prevention...
 
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