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HIV/AIDs Regimen specification one of many problems for whichbioinformaticians have implemented and trained machine learning methods such asneural networks. Predicting HIV resistance would be much easier, butunfortunately we rarely have enough structural information available to train aneural network. To network model designed to predict how long the HIV patientcan prolong his/her life time with certain regimen specification. To learn thismodel 300 patient's details have taken as a training set to train the networkand 100 patients medical history has taken to test this model. This networkmodel is trained using MAT lab implementation.

Application of Radial Basis Network Model for HIV/AIDs Regimen Specifications