Application of machine learning algorithms in predicting carotid artery plaques using routine health assessments
This study demonstrated the feasibility of predicting carotid plaque risk using ML algorithms. ML offers effective tools for improving public health monitoring and risk assessment, with the potential to improve primary care and community health by identifying high-risk individuals and enabling proactive healthcare measures and resource optimization.
Authors
- Junlong Tao
- Bo Bi (ORCID: https://orcid.org/0000-0002-5756-3133)
- Yi Ning (ORCID: https://orcid.org/0000-0002-7737-580X)
- Yuting Wei (ORCID: https://orcid.org/0000-0001-7869-7037)
- Weixia Li (ORCID: https://orcid.org/0000-0002-3083-3295)
- Yifan Geng
Institutions
- Hainan University (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-09-23
- DOI
- https://doi.org/10.3389/fcvm.2024.1454642
- Citations
- 5
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 2.01