Evaluation of the ABC pathway in patients with atrial fibrillation: A machine learning cluster analysis
Our study suggested specific optimization strategies of risk stratification and integrated management for different groups of AF patients considering multiple clinical, genetic and socioeconomic factors.
Authors
- Yanmin Yang (ORCID: https://orcid.org/0000-0002-0742-3853)
- Jiang‐Shan Tan (ORCID: https://orcid.org/0000-0001-8154-674X)
- Haiyang Bian (ORCID: https://orcid.org/0000-0002-6010-3314)
- Jun Zhu (ORCID: https://orcid.org/0000-0002-4309-5789)
- Xiang H.-F. Zhang (ORCID: https://orcid.org/0000-0002-5674-8670)
- Wei Xu (ORCID: https://orcid.org/0000-0002-7769-9601)
- Jingyang Wang (ORCID: https://orcid.org/0000-0003-4869-696X)
- Lei Wei (ORCID: https://orcid.org/0000-0002-8373-6608)
- Lulu Wang (ORCID: https://orcid.org/0009-0004-5328-8420)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- IJC Heart & Vasculature
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1016/j.ijcha.2025.101621
- Citations
- 2
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- National Natural Science Foundation of China
- Fuwai Hospital, Chinese Academy of Medical Sciences