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Updated: Feb 14, 2026

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糖尿病性腎臓病の早期診断のための通常の血液および生化学的パラメータに基づく機械学習モデル

Wei Yong1, Dan-Dan Peng1, Kai Ye1

  • 1Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China.

Frontiers in endocrinology
|February 13, 2026
PubMed
まとめ

機械学習モデルは,通常の血液検査を使用して,早期糖尿病性腎臓病 (DKD) を効果的に識別します. トリグリセリド・グルコース指数 (TyG) のような重要な予測指標は,費用対効果の高いスクリーニングの有望性を示しています.

キーワード:
糖尿病性腎臓病 糖尿病性腎臓病 糖尿病性腎臓病 糖尿病性腎臓病 糖尿病性腎臓病 糖尿病性腎臓病 糖尿病性腎臓病早期診断は早期診断です.機械学習 (machine learning) とは,機械学習 (machine learning) とは,機械学習 (machine learning) と呼ばれるものです.リスク予測 リスク予測ルーティン血液のパラメータ

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