Fine-Grained Assessment of COVID-19 Severity Based on Clinico-Radiological Data Using Machine Learning

Background: The severe and critical cases of COVID-19 had high mortality rates. Clinical features, laboratory data, and radiological features provided important references for the assessment of COVID-19 severity. The machine learning analysis of clinico-radiological features, especially the quantita...

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Detalles Bibliográficos
Autores principales: Liu, Haipeng, Wang, Jiangtao, Geng, Yayuan, Li, Kunwei, Wu, Han, Chen, Jian, Chai, Xiangfei, Li, Shaolin, Zheng, Dingchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518491/
https://www.ncbi.nlm.nih.gov/pubmed/36078380
http://dx.doi.org/10.3390/ijerph191710665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518491/
https://www.ncbi.nlm.nih.gov/pubmed/36078380
http://dx.doi.org/10.3390/ijerph191710665

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