Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET

Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET

Abstract Background Lung emphysema is an important phenotype of chronic obstructive pulmonary disease (COPD), and CT scanning is strongly recommended to establish the diagnosis. This study aimed to identify criteria by which physicians with limited technical resources can improve the diagnosis of em...

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Bibliographic Details
Main Authors: Christina Kellerer, Rudolf A. Jörres, Antonius Schneider, Peter Alter, Hans-Ulrich Kauczor, Bertram Jobst, Jürgen Biederer, Robert Bals, Henrik Watz, Jürgen Behr, Diego Kauffmann-Guerrero, Johanna Lutter, Alexander Hapfelmeier, Helgo Magnussen, Franziska C. Trudzinski, Tobias Welte, Claus F. Vogelmeier, Kathrin Kahnert
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Respiratory Research
Subjects:
Emphysema
CT scan
Decision trees
Random forest
Adaboost
COPD phenotypes
Online Access:https://doi.org/10.1186/s12931-021-01837-2

Internet

https://doi.org/10.1186/s12931-021-01837-2

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