Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients

Author:

Shiri Isaac,Sorouri Majid,Geramifar Parham,Nazari Mostafa,Abdollahi Mohammad,Salimi Yazdan,Khosravi Bardia,Askari Dariush,Aghaghazvini Leila,Hajianfar Ghasem,Kasaeian Amir,Abdollahi Hamid,Arabi Hossein,Rahmim ArmanORCID,Radmard Amir Reza,Zaidi HabibORCID

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference66 articles.

1. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N. Engl. J. Med.,2020

2. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention;Wu;J. Am. Med. Assoc.,2020

3. Sensitivity of chest CT for COVID-19: comparison to RT-PCR;Fang;Radiology,2020

4. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

5. Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT;Bai;Radiology,2020

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