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Updated: Jan 15, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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机器学习揭示了喘恶化临床因素的有限预测价值

Erik Duijvelaar1, Jack S Gisby2, Hanneke Coumou3

  • 1Department of Pulmonary Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands. e.duijvelaar@amsterdamumc.nl.

Scientific reports
|October 8, 2025
PubMed
概括

预测喘恶化严重程度是一项挑战. 肺功能和感染标记是关键的,但目前的临床因素对严重喘发作的预测能力有限.

关键词:
喘 喘 是一种恶化的情况加剧.机器学习 机器学习预测建模的预测建模.风险分层是指风险的分层.可治疗的特征可以治疗.

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