A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging

<div>Importance of the features for each ML algorithm. ADA, AdaBoost, and Naïve Bayesian features importance were grouped into a single bar plot as the values for the two adaptive algorithms turned out to be equals, and Naïve Bayesian values differed with them by less than 5%.</div>

Computational and Mathematical Methods in Medicine

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Figure 2

Figure 2: A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging 