Quantitative Computed Tomography Parameters in Coronavirus Disease 2019 Patients and Prediction of Respiratory Outcomes Using a Decision Tree

Quantitative Computed Tomography Parameters in Coronavirus Disease 2019 Patients and Prediction of Respiratory Outcomes Using a Decision Tree

BackgroundChest computed tomography (CT) scans play an important role in the diagnosis of coronavirus disease 2019 (COVID-19). This study aimed to describe the quantitative CT parameters in COVID-19 patients according to disease severity and build decision trees for predicting respiratory outcomes u...

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Bibliographic Details
Main Authors: Jieun Kang, Jiyeon Kang, Woo Jung Seo, So Hee Park, Hyung Koo Kang, Hye Kyeong Park, Je Eun Song, Yee Gyung Kwak, Jeonghyun Chang, Sollip Kim, Ki Hwan Kim, Junseok Park, Won Joo Choe, Sung-Soon Lee, Hyeon-Kyoung Koo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Medicine
Subjects:
coronavirus disease 2019
pneumonia
hypoxia
respiratory failure
quantitative CT
decision tree
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.914098/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.914098/full

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