Dietary patterns and chronic prostatitis: a symptom severity prediction model based on nutritional clustering and machine learning
This study successfully developed a machine learning model based on dietary patterns that effectively predicts CP/CPPS symptom severity. The model underscores the significant association between nutrition and disease management and, with its strong predictive performance and interpretability, offers a novel tool for precision nutrition in CP/CPPS.
Authors
- Junhua Xi
- Wei Wu (ORCID: https://orcid.org/0000-0001-8810-9534)
- Bo Wen (ORCID: https://orcid.org/0009-0008-3798-0053)
- Yanbin Zhang (ORCID: https://orcid.org/0000-0002-8555-164X)
- Zhen Wang (ORCID: https://orcid.org/0009-0007-5752-9756)
- Zhongle Xu
Institutions
- Third People's Hospital of Hefei (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2026-01-19
- DOI
- https://doi.org/10.3389/fnut.2025.1660430
- Primary Topic
- Urinary Bladder and Prostate Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00