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Updated: Jan 7, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

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基于机器学习的风险预测模型的构建和验证,用于AECOPD患者的侵入性机械通风,其呼吸衰竭复杂

Xin Jiang1, Ji Li1, Jingjing Ju2

  • 1Baoying People's Hospital, Baoying Clinical Medical College of Yangzhou University, Yangzhou, Jiangsu Province 225800, China.

International journal of medical informatics
|December 30, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于预测慢性阻塞性肺病 (AECOPD) 患者急性恶化的侵入性机械通风 (IMV) 情况. 该模型对识别需要IMV的患者充满希望,使用关键指标,如氧气水平和.

关键词:
在 AECOPD 中,AECOPD 在 AECOPD 中侵袭性机械通风 侵入性机械通风机器学习 机器学习预测模型的预测模型.呼吸系统衰竭 呼吸系统衰竭

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