Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide since December 2019. From the beginning of infection, patients will progress through different symptom stages, such as fever, dyspnea or even death. Identifying disease progression and predicting patien...

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Detalles Bibliográficos
Autores principales: Sun, Chenxi, Hong, Shenda, Song, Moxian, Li, Hongyan, Wang, Zhenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869774/
https://www.ncbi.nlm.nih.gov/pubmed/33557818
http://dx.doi.org/10.1186/s12911-020-01359-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869774/
https://www.ncbi.nlm.nih.gov/pubmed/33557818
http://dx.doi.org/10.1186/s12911-020-01359-9

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