Value of AI-based Multiomics Analysis in Differentiating COVID-19 from Community-acquired Pneumonia

Value of AI-based Multiomics Analysis in Differentiating COVID-19 from Community-acquired Pneumonia

Objective: To assess the effectiveness of a multiomics model that combines radiomics characteristics and routine clinical information (including clinical symptoms and laboratory data) to distinguish between coronavirus disease 2019 (COVID-19) and community-acquired pneumonia (CAP). Methods: Retrospe...

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Bibliographic Details
Main Authors: Xiaolan WANG, Jianhua ZHAO
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2023-05-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
artificial intelligence
coronavirus disease 2019
community-acquired pneumonia
radiomics
clinlabomics
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.049

Internet

https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.049

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