Clustering of electronic health records in atrial fibrillation patients and impact on prognosis and patient trajectories: a UK linked-dataset study — Z. Zhang (2025) | RDL Network
Clustering of electronic health records in atrial fibrillation patients and impact on prognosis and patient trajectories: a UK linked-dataset study
Article 2025 en
Authors
ZZ
Z. Zhang
HY
Hiroyuki Yoshimura
DA
Dionisio Acosta
Abstract
1 min read
Using unsupervised clustering we identified five distinct clinically actionable AF subphenotypes. The differences in outcomes and event rates at 5 years, suggests the possibility of specific tailored therapy and interventions requiring further investigation. Management of mental health should be part of holistic or integrated care management in this population.
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