Machine Learning‐Based Immuno‐Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture
The immuno-inflammatory index, which integrates comprehensive clinical characteristics, can predict the occurrence of PR. However, large-scale, multicenter studies are needed to confirm the generalizability of the predictive model.
Authors
- Chancui Deng (ORCID: https://orcid.org/0009-0004-6377-0800)
- Bei Shi
- Ning Gu
- Qianhang Xia (ORCID: https://orcid.org/0000-0003-1151-769X)
- Zhenglong Wang (ORCID: https://orcid.org/0000-0002-3016-8598)
- Youcheng Shen
- Shuangya Yang (ORCID: https://orcid.org/0000-0002-8692-2617)
- Ranzun Zhao (ORCID: https://orcid.org/0000-0002-0400-2260)
- Xi Wang (ORCID: https://orcid.org/0000-0003-2310-6759)
Institutions
- Zunyi Medical University (CN)
- First People’s Hospital of Zunyi (CN)
Publication Details
- Journal
- Immunity Inflammation and Disease
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/iid3.70162
- Citations
- 2
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 2.09