Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients
This study successfully developed a predictive model for estimating bleeding risk in DAPT patients. It has the potential to optimize treatment planning, improve patient outcomes, and enhance resource utilization.
Authors
- Wang Maofeng (ORCID: https://orcid.org/0000-0002-3166-0461)
- Qian Yang (ORCID: https://orcid.org/0000-0002-6111-8411)
- Lei Wanlin
Institutions
- Wenzhou Medical University (CN)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-10-02
- DOI
- https://doi.org/10.3389/fcvm.2024.1402672
- Citations
- 9
- Primary Topic
- Antiplatelet Therapy and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.62
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province