Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post‐hoc analysis of the WARCEF trial

Ähnliche Einträge

• The impact of clinical phenotypes of coronary artery disease on outcomes in patients with atrial fibrillation: A post‐hoc analysis of GLORIA‐AF registry
  von: Bi Huang, et al.
  Veröffentlicht: (2025)
• Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA‐AF registry phase II/III
  von: Yang Liu, et al.
  Veröffentlicht: (2024)
• Apixaban in patients with nonvalvular atrial fibrillation, heart failure and low body weight: A report from a global federated research dataset
  von: Luca Monzo, et al.
  Veröffentlicht: (2025)
• Atrial fibrosis heterogeneity and atrial fibrillation risk in ischaemic heart failure
  von: Alessandro Scuricini, et al.
  Veröffentlicht: (2025)
• Myths and challenges around anticoagulation in atrial fibrillation: A practicing clinician's perspective
  von: K. E. Juhani Airaksinen, et al.
  Veröffentlicht: (2025)