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Updated: Feb 14, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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ディフェンシャル・ネットワークベースの食事構造と2型糖尿病リスク:食品共消費ネットワークを用いた前向きなコホート研究

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
まとめ

新しいネットワーク分析法により,2型糖尿病 (T2D) リスクに関連した食事パターンが特定されました. 異なる共同消費ネットワーク派生 (D_CCN) スコアでのより高いスコアは,2つの大きなコホートでT2D発生率の増加を予測しました.

キーワード:
韓国 韓国 韓国 韓国2型糖尿病 2型糖尿病同消費の共消費とはクロス・コホート・バリデーションディフェンシャルネットワークとは

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