Ontology highlight
ABSTRACT:
SUBMITTER: Sudre CH
PROVIDER: S-EPMC7978420 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Sudre Carole H CH Lee Karla A KA Lochlainn Mary Ni MN Varsavsky Thomas T Murray Benjamin B Graham Mark S MS Menni Cristina C Modat Marc M Bowyer Ruth C E RCE Nguyen Long H LH Drew David A DA Joshi Amit D AD Ma Wenjie W Guo Chuan-Guo CG Lo Chun-Han CH Ganesh Sajaysurya S Buwe Abubakar A Pujol Joan Capdevila JC du Cadet Julien Lavigne JL Visconti Alessia A Freidin Maxim B MB El-Sayed Moustafa Julia S JS Falchi Mario M Davies Richard R Gomez Maria F MF Fall Tove T Cardoso M Jorge MJ Wolf Jonathan J Franks Paul W PW Chan Andrew T AT Spector Tim D TD Steves Claire J CJ Ourselin Sébastien S
Science advances 20210319 12
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 data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations. Clustering was validated on an ...[more]