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Updated: Feb 19, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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家族性地中海熱におけるコルキシン耐性を予測するための機械学習アルゴリズム

Admir Öztürk1, Berkay Kılıç1, Murad Kucur2

  • 1Medicine, Cerrahpasa Medical Faculty, University of Istanbul-Cerrahpasa, Turkey, Istanbul.

Rheumatology (Oxford, England)
|February 17, 2026
PubMed
まとめ

人工知能モデルは,家族性地中海熱 (FMF) 患者におけるコルキシン耐性を予測することができます. このAIのアプローチは,FMFの成人を早期に特定し,パーソナライズされた治療に役立ちます.

キーワード:
人工知能 (AI) とは,人工知能 (AI) に関するコルチシンの耐性症候群である.ディープラーニングとは,ディープラーニングです.家族性地中海熱である.

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