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Updated: Sep 9, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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ナイロビ郡でPM2.5による呼吸器疾患をランダムフォレストモデルで予測する

Valine Atieno Okeyo1, Idah Orowe1, Nicholas Otienoh Oguge2

  • 1University of Nairobi, Department of Mathematics, Kenya.

International journal of innovative science and research technology
|August 29, 2025
PubMed
まとめ

ランダム・フォレストのモデルは,ナイロビのPM2.5空気の汚染に関連した呼吸器疾患を正確に予測しています. 年齢とPM2.5レベルは重要な予測指標であり,空気質の改善の必要性を強調しています.

キーワード:
精度特徴の重要性PM2.5 についてランダム・フォレスト呼吸器疾患

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