Interpretable machine learning model based on multimodal ultrasound for bedside diagnosis of acute exacerbations in COPD

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Publication Details

Journal
Respiratory Research
Published
2025-11-28
DOI
https://doi.org/10.1186/s12931-025-03411-6
Primary Topic
Ultrasound in Clinical Applications
Type
article
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article

Interpretable machine learning model based on multimodal ultrasound for bedside diagnosis of acute exacerbations in COPD

Xinying Jia, Yu Xin, Liangkai Wang, Yujin Zheng et al.
Respiratory Research
Ultrasound in Clinical Applications
article

Interpretable machine learning model based on multimodal ultrasound for bedside diagnosis of acute exacerbations in COPD

Xinying Jia, Yu Xin, Liangkai Wang, Yujin Zheng, Bo Zhang, Hui Liu, Yang Li, Huilin Li, Zhe Sun, Jiaojiao Ma
article en

Abstract

No abstract available for this paper.
Respiratory ResearchVol. 26(1)
Academy of Medical Sciences (GB), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN), National Clinical Research (US), Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 55%
Ultrasound in Clinical Applications
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Interpretable machine learning model based on multimodal ultrasound for bedside diagnosis of acute exacerbations in COPD — Xinying Jia, Yu Xin, et al. · Respiratory Research (2025) | TGRS Research Map | TGRS