Study on risk factor analysis and model prediction of hyperuricemia in different populations
The SVM model based on clinical biochemical indicators has good predictive ability for HUA, thus providing a reference for the diagnosis of HUA and the development of an HUA prediction model.
Authors
- Zhongqi Shi
- Xueli Ge
- C. Yu (ORCID: https://orcid.org/0000-0002-6478-5762)
- Kaifei Hou (ORCID: https://orcid.org/0009-0004-3220-2421)
- Jiayu Zhang (ORCID: https://orcid.org/0000-0001-7228-8320)
- Zhenguo Su
- Shaoping Wang (ORCID: https://orcid.org/0009-0008-1405-0355)
- Xinyu Song (ORCID: https://orcid.org/0009-0005-0748-6319)
Institutions
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Second Hospital of Shandong University (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2024-10-14
- DOI
- https://doi.org/10.3389/fnut.2024.1417209
- Citations
- 1
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- National Natural Science Foundation of China