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

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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Bibliographic Details
Main Authors: Joshua Gawlitza, Timo Sturm, Kai Spohrer, Thomas Henzler, Ibrahim Akin, Stefan Schönberg, Martin Borggrefe, Holger Haubenreisser, Frederik Trinkmann
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Diagnostics
Subjects:
chronic obstructive pulmonary disease
machine learning
thorax
Online Access:https://www.mdpi.com/2075-4418/9/1/33

Internet

https://www.mdpi.com/2075-4418/9/1/33

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