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Updated: Jan 28, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
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IgA腎症におけるオックスフォード分類システム内の機械学習を用いたTスコアの非侵襲的予測

Jingyu Dou1, Shuhua Jin2, Xiaoyue Ma1

  • 1Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Frontiers in endocrinology
|January 26, 2026
PubMed
まとめ

本研究は、計算断層撮影（CT）放射線画像と臨床データを組み合わせることで、機械学習を用いてIgA腎症（IgAN）のオックスフォード分類Tスコア（腎間質線維症）を正確に予測できることを示しています。

キーワード:
IgA腎症機械学習予測モデル放射線画像腎間質線維症

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