CT Quantification and Machine-learning Models for Assessment of Disease Severity and Prognosis of COVID-19 Patients

OBJECTIVE: This study was to investigate the CT quantification of COVID-19 pneumonia and its impacts on the assessment of disease severity and the prediction of clinical outcomes in the management of COVID-19 patients. MATERIALS METHODS: Ninety-nine COVID-19 patients who were confirmed by positive n...

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Detalles Bibliográficos
Autores principales: Cai, Wenli, Liu, Tianyu, Xue, Xing, Luo, Guibo, Wang, Xiaoli, Shen, Yihong, Fang, Qiang, Sheng, Jifang, Chen, Feng, Liang, Tingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association of University Radiologists. Published by Elsevier Inc. 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505599/
https://www.ncbi.nlm.nih.gov/pubmed/33046370
http://dx.doi.org/10.1016/j.acra.2020.09.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505599/
https://www.ncbi.nlm.nih.gov/pubmed/33046370
http://dx.doi.org/10.1016/j.acra.2020.09.004

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