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.

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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
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article

Dietary patterns and chronic prostatitis: a symptom severity prediction model based on nutritional clustering and machine learning

Junhua Xi, Wei Wu, Bo Wen, Yanbin Zhang et al.
Frontiers in Nutrition
Urinary Bladder and Prostate Research
article

Dietary patterns and chronic prostatitis: a symptom severity prediction model based on nutritional clustering and machine learning

Junhua Xi, Wei Wu, Bo Wen, Yanbin Zhang, Zhen Wang, Zhongle Xu
article en

Abstract

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.

Frontiers in NutritionVol. 12
Third People's Hospital of Hefei (CN)
Zero hunger
Openalex Percentile: Top 85%
Urinary Bladder and Prostate Research
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