Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients
Conclusion These promising results suggest that the discriminative features introduced in this paper can be used by medical professionals, or in automatic decision support systems, along with the recognized risk markers, to improve arrhythmic risk stratification in post-MI patients.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research
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