z-logo
open-access-imgOpen Access
Quantitative Computed Tomography Parameters in Coronavirus Disease 2019 Patients and Prediction of Respiratory Outcomes Using a Decision Tree
Author(s) -
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,
HyeonKyoung Koo
Publication year - 2022
Publication title -
frontiers in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.388
H-Index - 39
ISSN - 2296-858X
DOI - 10.3389/fmed.2022.914098
Subject(s) - hounsfield scale , medicine , pneumonia , respiratory system , respiratory failure , fibrinogen , viral pneumonia , respiratory disease , radiology , computed tomography , decision tree , disease , lung , covid-19 , machine learning , infectious disease (medical specialty) , computer science

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom