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Updated: Feb 14, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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基于网络的差异性饮食结构和2型糖尿病风险:使用食品共同消费网络进行前性队列研究.

Hye Won Woo1,2, Yu-Mi Kim1,2, Min-Ho Shin3

  • 1Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.

Nutrients
|February 13, 2026
PubMed
概括

一种新的网络分析方法确定了与2型糖尿病 (T2D) 风险相关的饮食模式. 差异性共同消费网络衍生 (D_CCN) 评分的更高得分预测了两个大队伍中T2D发病率的增加.

关键词:
韩国 韩国 韩国 韩国2 型糖尿病 2 型糖尿病同时消费的共同消费.跨队列验证的验证不同网络的差异网络.

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