Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study

Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study

Objective: To predict COVID-19 severity by building a prediction model based on the clinical manifestations and radiomic features of the thymus in COVID-19 patients. Method: We retrospectively analyzed the clinical and radiological data from 217 confirmed cases of COVID-19 admitted to Xiangyang...

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Bibliographic Details
Main Authors: Peng An, Xiumei Li, Ping Qin, YingJian Ye, Junyan Zhang, Hongyan Guo, Peng Duan, Zhibing He, Mingqun Li, Jinsong Wang, Yan Hu, Guoyan Feng, Yong Lin
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
covid-19
anorexia
diarrhea
thymus
computed tomography
radiomics
texture analysis
thymic steatosis
mild type
severe type
prediction model
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023284?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023284?viewType=HTML

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