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Updated: Sep 10, 2025

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変化するCOVID-19の状況に適応するために,機械学習フェノタイプの再設計:N3CとRECOVERコンソーシアムの機械学習モデリング研究

Miles Crosskey1, Tomas McIntee2, Sandy Preiss3

  • 1CoVar Applied Technologies, Durham, NC, USA.

The Lancet. Digital health
|August 26, 2025
PubMed
まとめ

更新された機械学習モデルは,自宅での検査や再感染でも,長期のCOVIDの可能性を正確に予測します. このアプローチは,SARS-CoV-2感染研究の急性後遺症の患者識別を改善します.

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