Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques

Abstract

Abstract:Virological events in HIV-infected patients can rise with no apparent reason. Therefore, when they appear, immunologists or medical doctors do not know whether they will produce other future virological events or they will entail relevant clinical consequences. This paper presents the results of applying Prefurge to HIVinfected patients' clinical data, with the aim of obtaining rules and information about this set of clinical trials data that will relate these kinds of virological events.