Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)

► MB-MBC is a new approach for learning multi-dimensional Bayesian network classifiers. ► MB-MBC is a constraint-based approach based on building Markov blankets. ► MB-MBC is evaluated using synthetic and real-world Parkinson's disease data sets. ► Experimental study shows promising results compared with state-of-the-art approaches.