Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study

BACKGROUND: Many COVID-19 patients rapidly progress to respiratory failure with a broad range of severities. Identification of high-risk cases is critical for early intervention. OBJECTIVE: The aim of this study is to develop deep learning models that can rapidly identify high-risk COVID-19 patients...

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Detalles Bibliográficos
Autores principales: Ho, Thao Thi, Park, Jongmin, Kim, Taewoo, Park, Byunggeon, Lee, Jaehee, Kim, Jin Young, Kim, Ki Beom, Choi, Sooyoung, Kim, Young Hwan, Lim, Jae-Kwang, Choi, Sanghun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850779/
https://www.ncbi.nlm.nih.gov/pubmed/33455900
http://dx.doi.org/10.2196/24973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850779/
https://www.ncbi.nlm.nih.gov/pubmed/33455900
http://dx.doi.org/10.2196/24973

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