Phenotyping of atrial fibrillation with cluster analysis and external validation
Conclusions
Machine learning-based cluster analysis identified five different phenotypes of AF with unique clinical characteristics and different clinical outcomes. The use of these phenotypes may help identify high-risk patients with AF.
Source: Heart - Category: Cardiology Authors: Saito, Y., Omae, Y., Nagashima, K., Miyauchi, K., Nishizaki, Y., Miyazaki, S., Hayashi, H., Nojiri, S., Daida, H., Minamino, T., Okumura, Y. Tags: Open access, Editor's choice Arrhythmias and sudden death Source Type: research
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