There are currently several kinds of classifiers based on different technologies: decision rules and decision trees RIPPER [ 28], One-R [ 29], M5 [ 30], J48 [ 31], CART [ 1] (classification and regression trees), probabilistic models naive Bayes [ 32], fuzzy models K-NN (K-nearest neighbors) [ 33], neural networks [ 34], and so forth.
As regards overall mortality of the cohort, our findings are in agreement with previous studies that reported a substantial reduction in mortality rates among HIV-infected subjects after 1998, mainly attributed to the decline of deaths for AIDS-related conditions, thanks to cART [ 1, 3, 18].
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Progression to AIDS can be delayed by combined antiretroviral therapy (cART, [1]).
Progression to the acquired immune deficiency syndrome (AIDS), a disease with failure of the immune system caused by the human immune deficiency virus (HIV), characterized by certain life-threatening opportunistic infections and malignancies can be prevented by combined antiretroviral therapy (cART, [1, 2]).
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CART [15, 16] is a recursive classification method, which creates binary divisions from our dataset.
Some well-known algorithms for decision-tree induction are C4.5 [1] and CART [2].
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