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: Tags: Open access, Editor's choice Arrhythmias and sudden death Source Type: research