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Updated: Jan 17, 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

435

开发和验证一种基于多模式的机器学习模型,用于诊断常见间歇性肺炎:一个前性的多中心研究

Hongyi Wang1, Anqi Liu2, Yifei Ni2

  • 1China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.

Chest
|September 18, 2025
PubMed
概括

整合放射学和临床数据的机器学习模型可以在间歇性肺病 (ILD) 患者中准确识别常见的间歇性肺炎 (UIP). 该工具显示出强大的诊断性能和预后价值,有助于临床决策.

关键词:
诊断 诊断 诊断 诊断 诊断 诊断高分辨率的胸部CT CT.间歇性肺病 间歇性肺病机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.通常的间歇性肺炎.

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