Machine learning-based prediction of LDL cholesterol: performance evaluation and validation
Machine learning models offer more accurate LDL-C estimates, especially in high TG contexts where traditional formulas are less reliable. These models could enhance cardiovascular risk assessment by providing more precise LDL-C estimates, potentially leading to more informed treatment decisions and improved patient outcomes.
Authors
- C. Jiang
- Jun Meng (ORCID: https://orcid.org/0000-0002-7633-3624)
- Zhongming An (ORCID: https://orcid.org/0000-0001-9918-1734)
Institutions
- Yanbian University Hospital (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-04-09
- DOI
- https://doi.org/10.7717/peerj.19248
- Citations
- 2
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 4.01