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Updated: Sep 10, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

405

人工知能のバイオマーカーは,高リスクの小児性喘息のサブグループで,呼吸器感染症や悪化を検出する

Young J Juhn1, Chung-Il Wi1, Euijung Ryu2

  • 1Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn; Precision Population Science Lab, Mayo Clinic, Rochester, Minn.

The Journal of allergy and clinical immunology
|August 21, 2025
PubMed
まとめ

自然言語処理 (NLP) によるデジタルバイオマーカーは,急性呼吸器感染症 (ARI) のリスクの高い子供の喘息サブグループを特定することができます. NLP-PAC+/ NLP-API+サブグループは,肺炎,インフルエンザ,喘息の悪化のリスクが早期に増加したことを示した.

キーワード:
喘息についてNLPについて人工知能コホート流行病学について感染症小児科フェノタイプ化精度についてリスクサブグループ

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