Figure 1.

An outsketch of the methodological process used in the analysis. After cleaning the data, the problem was solved in two parallel tasks (CBR and PDA). Using several feature selection methods followed by expert evaluation, the most important predictors of active VS treatment were identified. The identified set of predictors was processed by several classification methods to create models capable of predicting the active VS treatment based on the predictor values. The performance of the models was analyzed using various performance metrics.