Phenotypes and outcomes in non-anticoagulated patients with atrial fibrillation: An unsupervised cluster analysis-Reference-Cited by-同舟云学术

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Phenotypes and outcomes in non-anticoagulated patients with atrial fibrillation: An unsupervised cluster analysis

Published:2023-06 Issue:6-7 Volume:116 Page:342-351
ISSN:1875-2136
Container-title:Archives of Cardiovascular Diseases
language:en
Short-container-title:Archives of Cardiovascular Diseases

Author:

Bisson Arnaud,M. Fawzy Ameenathul,Romiti Giulio Francesco,Proietti Marco,Angoulvant Denis,El-Bouri Wahbi,Y. H. Lip Gregory,Fauchier Laurent

Funder

University of Liverpool

Société Française de Cardiologie

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Reference40 articles.

1. Epidemiology of atrial fibrillation: geographic/ecological risk factors, age, sex, genetics;Zhang;Card Electrophysiol Clin,2021

2. Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) general long-term registry;Proietti;BMC Med,2021

3. Clinical complexity domains, anticoagulation, and outcomes in patients with atrial fibrillation: a report from the GLORIA-AF registry phase II and III;Romiti;Thromb Haemost,2022

4. How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management;Olier;Cardiovasc Res,2021

5. Artificial intelligence in cardiovascular imaging: JACC state-of-the-art review;Dey;J Am Coll Cardiol,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-based derivation of atrial fibrillation phenotypes in the general and critical care populations;eBioMedicine;2024-09

2. The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment;Reviews in Cardiovascular Medicine;2024-07-10

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