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Updated: Feb 14, 2026

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LLaMA 7Bを用いた表型データ分析のためのモジュラーで解釈可能なフレームワーク:ローカル言語モデルによる事前処理,モデリング,説明性の向上

Shahab Ahmad Al Maaytah1, Ayman Qahmash2

  • 1Department of Languages and Humanities, Applied College, King Faisal University, Al-Ahsa, The Eastern Province, Saudi Arabia.

PloS one
|February 12, 2026
PubMed
まとめ

この研究では,ローカル・ラッグ・ランゲージ・モデル (LLM) が,医療診察の出席率を予測するためのデータ前処理を改善する方法が示されています. 古典的なモデルは依然として最終的な予測を処理し,医療の効率性を高めています.

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