Development and Validation of a Hypertension Risk Prediction Model Based on Particle Swarm Optimization–Support Vector Machine
The PSO-SVM model is effective for complex classifications, particularly in hypertension detection, providing a basis for early diagnosis and treatment.
Authors
- Kexue Zeng
- Juncai Lin (ORCID: https://orcid.org/0009-0004-9913-6625)
- Hao Chen (ORCID: https://orcid.org/0000-0002-3093-8230)
- Siqi Wang (ORCID: https://orcid.org/0000-0003-2963-9839)
- Qing Tao (ORCID: https://orcid.org/0000-0003-0432-9770)
- Lixing Cao
- Rou You
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Bioengineering
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/bioengineering12030238
- Citations
- 2
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.78