Automatic Cardiomyopathy Diagnosis with a Cost-sensitive Ensemble Classifier

This paper proposed a cost-sensitive ensemble classifier for automatic cardiomyopathy diagnosis using features extracted from cardiac magnetic resonance images. However, with numerous features extracted from images, it is hard for a single classifier to achieve accurate prediction. In contrast, an ensemble classifier combines multiple weak classifiers which could benefit from each others and impro...