Phenotyping of atrial fibrillation with cluster analysis and external validation.

Yuki SaitoYuto OmaeKoichi NagashimaKatsumi MiyauchiYuji NishizakiSakiko MiyazakiHidemori HayashiShuko NojiriHiroyuki DaidaTohru MinaminoYasuo Okumura

Published in: Heart (British Cardiac Society) (2023)

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.

Keyphrases

atrial fibrillation
machine learning
heart failure
artificial intelligence
mitral valve
catheter ablation
venous thromboembolism