Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images

Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images

Chronic obstructive pulmonary disease (COPD) is a widely prevalent disease with significant mortality and disability rates and has become the third leading cause of death globally. Patients with acute exacerbation of COPD (AECOPD) often substantially suffer deterioration and death. Therefore, COPD p...

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Bibliographic Details
Main Authors: Shicong Wang, Wei Li, Nanrong Zeng, Jiaxuan Xu, Yingjian Yang, Xingguang Deng, Ziran Chen, Wenxin Duan, Yang Liu, Yingwei Guo, Rongchang Chen, Yan Kang
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
AECOPD prediction
Machine learning
AMGNN
Radiomics
CNN
Lasso
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024047558

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024047558

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