Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study

BACKGROUND: COVID-19 has overwhelmed health systems worldwide. It is important to identify severe cases as early as possible, such that resources can be mobilized and treatment can be escalated. OBJECTIVE: This study aims to develop a machine learning approach for automated severity assessment of CO...

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Detalles Bibliográficos
Autores principales: Quiroz, Juan Carlos, Feng, You-Zhen, Cheng, Zhong-Yuan, Rezazadegan, Dana, Chen, Ping-Kang, Lin, Qi-Ting, Qian, Long, Liu, Xiao-Fang, Berkovsky, Shlomo, Coiera, Enrico, Song, Lei, Qiu, Xiaoming, Liu, Sidong, Cai, Xiang-Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879715/
https://www.ncbi.nlm.nih.gov/pubmed/33534723
http://dx.doi.org/10.2196/24572

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879715/
https://www.ncbi.nlm.nih.gov/pubmed/33534723
http://dx.doi.org/10.2196/24572

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