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Bayesian and Artificial Neural Networks Algorithms at Myocardial Perfusion Imaging

Introduction: One major focus of data mining process especially Machine Learning researches relates to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. In a preliminary study, advantages on Computerized Analysis of data over Human Analysis in MPI Myocardial Perfusion Imaging context were identified (shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc), especially when considering the use of Naïve Bayes algorithm.