Predictive modeling for hiv testing using data mining techniques gidey hailu tesfay girma tadesse semaw ferede on amazoncom free shipping on qualifying offers testing for hiv is the key entry point to hiv prevention treatment and care and support services. On the application of data mining techniques in healthcare industry or else in related and similar settings for the future keywords data mining comparison predictive modeling hiv testing ethiopia 1 background according to ministry of health report 2006 the adult prevalence of hiv infection in ethiopia was estimated. Pattern using recent data and more variables so as to support the scaling up of knowledge of hiv status the prediction is based on the individual hiv status prediction predictive data mining methods are used as pattern recognition tools in data mining to classify hiv status of individuals based on demographic and socio economic characteristics. Methods cross industry standard process for data mining crisp dm was used to predict the model for hiv testing and explore association rules between hiv testing and the selected attributes data preprocessing was performed and missing values for the categorical variable were replaced by the modal value of the variable. Document for predictive modeling for hiv testing using data mining techniques is available in various format such as pdf doc and epub which you can directly download and save in in to your device
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