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Updated: Jun 16, 2025

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一种深度学习方法通过吞前后的声音变化来检测缺食-渴望算法

Jung-Min Kim1,2, Min-Seop Kim3, Sun-Young Choi2

  • 1Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.

Frontiers in bioengineering and biotechnology
|August 19, 2024
PubMed
概括

一种深度学习模型通过分析吞前后的声音变化,有效地检测出缺食渴望. 这种语音分析工具为医疗机构的实时患者监测和个性化干预提供了潜力.

关键词:
吸收检测模型的吸收检测模型深度学习是一种深度学习.失足症 - 渴望症.吞前后的声音变化 吞前后的声音变化基于语音的非面对面监控

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Respiratory System Abnormal Finding II: Palpation and Auscultation

In assessing respiratory abnormalities, palpation and auscultation are critical tools for detecting and interpreting various pathophysiological changes. These techniques provide insight into underlying disorders by evaluating tactile sensations and sounds produced by the respiratory system.
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
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