Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD

Introduction: Quantitative computed tomography (qCT) is an emergent technique for diagnostics and research in patients with chronic obstructive pulmonary disease (COPD). qCT parameters demonstrate a correlation with pulmonary function tests and symptoms. However, qCT only provides anatomical, not fu...

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Detalles Bibliográficos
Autores principales: Gawlitza, Joshua, Sturm, Timo, Spohrer, Kai, Henzler, Thomas, Akin, Ibrahim, Schönberg, Stefan, Borggrefe, Martin, Haubenreisser, Holger, Trinkmann, Frederik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468377/
https://www.ncbi.nlm.nih.gov/pubmed/30901865
http://dx.doi.org/10.3390/diagnostics9010033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468377/
https://www.ncbi.nlm.nih.gov/pubmed/30901865
http://dx.doi.org/10.3390/diagnostics9010033

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