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Updated: Jul 4, 2025

Sucrose Preference and Novelty-Induced Hypophagia Tests in Rats using an Automated Food Intake Monitoring System
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高质量或低质量的碳水化合物与抑郁症状和基于XGboost算法的社会经济饮食因素模型之间的关联:来自NHANES 2007-2018年

Xiangji Dang1, Ruifeng Yang2, Qi Jing2

  • 1Department of Pharmaceutical, Lanzhou University Second Hospital, Cui Ying Men No.80, Lanzhou 730030, Gansu Province, PR China.

Journal of affective disorders
|February 2, 2024
PubMed
概括

饮食中的碳水化合物质量会影响抑郁症状. 高质量的碳水化合物与较少的症状有关,而低质量的碳水化合物与更多的症状相关. 机器学习模型可以根据饮食来预测抑郁症的严重程度.

关键词:
碳水化合物质量的质量抑郁症的症状 抑郁症的症状机器学习 机器学习国家健康和营养检查调查 (NHANES)网络预测工具 网络预测工具在XGboost中使用XGboost.

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