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Updated: Sep 9, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Published on: October 11, 2018

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代替ベンゼンの予測バイナリ分類モデルを設計し,データマイニングと機械学習技術を中心に汚染リスクの評価

Aubin N'guessan1, Brice Dali1, Elvice Akori Esmel1

  • 1Fundamental Applied Physics Laboratory (FAPL), University of Abobo-Adjamé (Now Nangui ABROGOUA), Abidjan 02, Côte d'Ivoire.

Environmental science and pollution research international
|August 30, 2025
PubMed
まとめ

定量構造-毒性関係 (QSTR) モデルは化学の安全性を迅速に評価します. CARTの決定樹モデルは,ベンゼン由来化合物に対するTetrahymena pyriformisの毒性を効果的に予測した.

キーワード:
クラスト・オブ・ヴァーテトラヒメナ・パイリフォームスデータマイニング機械学習QSTR についてリスク評価SMOTE スモット代替ベンゼン

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