Original article The use of computational models to predict response to ...
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Original article The use of computational models to predict response to ...
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Original article The use of computational models to predict response to HIV therapy for clinical cases in Romania Andrew D Revell,1,* Luminiţa Ene,2 Dan Duiculescu,3 Dechao Wang,4 Mike Youle,5 Anton Pozniak,6 Julio Montaner,7 Brendan A Larder8 Abstract Introduction A major challenge in Romania is the optimisation of antiretroviral therapy for the many HIV-infected adults with, on average, a decade of treatment experience. The RDI has developed computational models that predict virological response to therapy but these require a genotype, which is not routinely available in Romania. Moreover the models, which were trained without any Romanian data, have proved most accurate for patients from the healthcare settings that contributed the training data. Here we develop and test a novel model that does not require a genotype, with test data from Romania. Methods A random forest (RF) model was developed to predict the probability of the HIV viral load (VL) being reduced to
