Explainable machine learning model for classifying atherosclerotic cardiovascular disease in patients with metabolic dysfunction-associated steatotic liver disease
The GB model demonstrated strong high accuracy in identifying existing ASCVD in MASLD patients and may serve as a useful tool for early risk stratification in clinical settings.
Authors
- Banghui Wang
- Sanbao Ruan (ORCID: https://orcid.org/0000-0002-1316-937X)
- Juan Wang (ORCID: https://orcid.org/0000-0002-4656-6865)
- Linlin Ren
- Xiaokai Chen
- Wenzhong Zhang (ORCID: https://orcid.org/0000-0002-2968-0164)
- Zhengliang Li (ORCID: https://orcid.org/0000-0003-1976-7087)
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-10-30
- DOI
- https://doi.org/10.3389/fendo.2025.1684558
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71