Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study
The XGBoost model has a good predictive ability in predicting ICT risk in patients with DCM and may assist clinicians in identifying ICT risk.
Authors
- Yiguo Jiang (ORCID: https://orcid.org/0000-0002-9499-2594)
- Zeping Hu (ORCID: https://orcid.org/0000-0003-4146-7750)
- Jun Li (ORCID: https://orcid.org/0000-0003-4225-567X)
- Tianqi Wang (ORCID: https://orcid.org/0000-0002-3039-9038)
- Xuetao Zhu (ORCID: https://orcid.org/0000-0002-7563-1603)
Institutions
- Anhui Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1186/s12872-025-04581-3
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation for Distinguished Young Scholars of Anhui Province