Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app

As no one symptom can predict disease severity or the need for dedicated medical support in coronavirus disease 2019 (COVID-19), we asked whether documenting symptom time series over the first few days informs outcome. Unsupervised time series clustering over symptom presentation was performed on da...

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Detalles Bibliográficos
Autores principales: Sudre, Carole H., Lee, Karla A., Lochlainn, Mary Ni, Varsavsky, Thomas, Murray, Benjamin, Graham, Mark S., Menni, Cristina, Modat, Marc, Bowyer, Ruth C. E., Nguyen, Long H., Drew, David A., Joshi, Amit D., Ma, Wenjie, Guo, Chuan-Guo, Lo, Chun-Han, Ganesh, Sajaysurya, Buwe, Abubakar, Pujol, Joan Capdevila, du Cadet, Julien Lavigne, Visconti, Alessia, Freidin, Maxim B., El-Sayed Moustafa, Julia S., Falchi, Mario, Davies, Richard, Gomez, Maria F., Fall, Tove, Cardoso, M. Jorge, Wolf, Jonathan, Franks, Paul W., Chan, Andrew T., Spector, Tim D., Steves, Claire J., Ourselin, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978420/
https://www.ncbi.nlm.nih.gov/pubmed/33741586
http://dx.doi.org/10.1126/sciadv.abd4177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978420/
https://www.ncbi.nlm.nih.gov/pubmed/33741586
http://dx.doi.org/10.1126/sciadv.abd4177

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