An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data
Our results suggest that the proposed ensemble model has good predictive performance and has the potential to become an effective tool for personal health management.
Authors
- Jing Guo (ORCID: https://orcid.org/0000-0003-2039-6199)
- Xiaolong Guo (ORCID: https://orcid.org/0009-0007-1192-6203)
- Naiwen Zhang (ORCID: https://orcid.org/0000-0002-5035-9180)
- Dan Guo
- Xiaxia Yu (ORCID: https://orcid.org/0000-0003-4811-5125)
- Zhen Tan (ORCID: https://orcid.org/0009-0004-2082-8566)
- Feiyue Cai
- Ping Dai
Institutions
- Shenzhen University (CN)
- Shenzhen Sixth People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-10-24
- DOI
- https://doi.org/10.3389/fphys.2024.1464744
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00