A Novel Risk Score Based on Lipid-Related Biomarkers for Acute Coronary Syndromes: A Multicenter Machine Learning Study
We constructed a risk-stratification model based on lipid-related biomarkers derived from ML models to predict ACS in hospitalized patients, which could assist in identifying patients with high discriminatory capacity.
Authors
- Qiongxin Wang
- Yinhua Luo
- Yuanhong Li (ORCID: https://orcid.org/0000-0002-2215-3636)
- Ting He (ORCID: https://orcid.org/0000-0001-6681-5083)
- Jing Wan (ORCID: https://orcid.org/0000-0001-5389-7585)
- Shaoqian Cai
- Ze Chen
- Zhen Zhou
- Feifei Yan
- Zhibing Lu
- Yingying Hu
Institutions
- Wuhan University (CN)
- Hubei Provincial Center for Disease Control and Prevention (CN)
- The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
- Zhongnan Hospital of Wuhan University (CN)
- Wuhan University of Science and Technology (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2026-02-04
- DOI
- https://doi.org/10.31083/rcm44578
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China