An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators

This study utilized a comprehensive nomogram to evaluate the prognosis of patients with COVID-19 pneumonia. Methods: COVID-19 pneumonia data was divided into training set (256 of 321, 80%), internal validation set (65 of 321, 20%) and independent external validation set (n = 188). After image proces...

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Detalles Bibliográficos
Autores principales: Zhang, Mudan, Zeng, Xianchun, Huang, Chencui, Liu, Jun, Liu, Xinfeng, Xie, Xingzhi, Wang, Rongpin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353975/
https://www.ncbi.nlm.nih.gov/pubmed/34464848
http://dx.doi.org/10.1016/j.ijmedinf.2021.104545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353975/
https://www.ncbi.nlm.nih.gov/pubmed/34464848
http://dx.doi.org/10.1016/j.ijmedinf.2021.104545

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