Predicting HIV Infection Risk Factor Using VCT Data. Application of Data Mining In Health sector

      Аннотация: Despite a great deal of efforts, the world still has neither a cure nor a vaccine for HIV/AIDS infection. Millions of people have been suffering from this incurable disease. Fortunately, researchers have become successful in prolonging and improving the quality of life of those infected with HIV. Nonetheless, it has become increasingly clear that preventing the transmission and the acquisition of HIV through educating people to bring about behavioral changes should be the focus. The widely and freely available voluntary counseling and testing center (VCT) in Addis Ababa which provides an enormous role in counseling, promoting and checking clients HIV status through the clinical laboratory test. In line with this, the center has been collecting client’s information or records for further investigation with confidentiality. The record consists of many attribute that may have a direct or indirect impact with HIV infection. Moreover, identifying HIV infection risk factors or determinate variables provides benefits at different level of the society (such as individual, community and organizational level).

Ключевые слова: Data Mining, HIV infection, predictive modeling, VCT DATA, HIV Infection Risk Factor, Data Mining and HIV