Testing for HIV is the key entry point to HIV prevention, treatment, and care and support services. To this end, the objective of this study is to build a predictive modeling for HIV testing and identify its determinants for adults (age>14) in Ethiopia. However, traditional statistical methods are not enough to discover a new hidden pattern from these huge amounts of HIV testing data generated by Ethiopian DHS which are too complex and voluminous. Hence, data mining techniques can greatly benefit to analyze these huge data set collected over time. CRISP-DM methodology was used to predict the...
Testing for HIV is the key entry point to HIV prevention, treatment, and care and support services. To this end, the objective of this study is to bui...