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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Pubblicato in:Sci Adv
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Association for the Advancement of Science 2021
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Research Articles
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7978420/
https://ncbi.nlm.nih.gov/pubmed/33741586
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.abd4177
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