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Updated: Feb 5, 2026

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饮食模式和慢性前列腺炎:一种基于营养聚类和机器学习的症状严重性预测模型

Zhen Wang1, Wei Wu1, Bo Wen1

  • 1Department of Urology, Hefei Second People's Hospital, Hefei, Anhui, China.

Frontiers in nutrition
|February 4, 2026
PubMed
概括

一个机器学习模型使用饮食模式预测慢性前列腺炎/慢性骨盆疼痛综合征 (CP/CPPS) 症状严重程度. "红肉和加工食品"模式与严重程度的增加有很强的相关性,有助于为CP/CPPS管理提供个性化的营养.

关键词:
拉索回归法 (Lasso Regression) 是一种回归法.解释SHAP的解释在XGBoost中使用.慢性前列腺炎 慢性前列腺炎饮食模式的饮食模式食品频率问卷调查问卷机器学习是机器学习.主要组件分析的主要组件分析

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