Machine Learning Constructed Based on Patient Plaque and Clinical Features for Predicting Stent Malapposition: A Retrospective Study
ML models developed using plaque imaging features and clinical characteristics can predict the occurrence of SM. ML models based on clinical and imaging features exhibited better performance.
Authors
- Chancui Deng (ORCID: https://orcid.org/0009-0004-6377-0800)
- Bei Shi
- Ning Gu
- Ranzun Zhao (ORCID: https://orcid.org/0009-0003-6320-8968)
- Qianhang Xia (ORCID: https://orcid.org/0000-0003-1151-769X)
- Shuangya Yang (ORCID: https://orcid.org/0000-0002-8692-2617)
- Youcheng Shen
Institutions
- Zunyi Medical University (CN)
- First People’s Hospital of Zunyi (CN)
Publication Details
- Journal
- Clinical Cardiology
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1002/clc.24332
- Citations
- 2
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.15