Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis
BackgroundMultiple clinical phenotypes have been proposed for coronavirus disease (COVID-19), but few have used multimodal data. Using clinical and imaging data, we aimed to identify distinct clinical phenotypes in patients admitted with COVID-19 and to assess their clinical outcomes. Our secondary...
Saved in:
Main Authors: | Eric Yamga (Author), Louis Mullie (Author), Madeleine Durand (Author), Alexandre Cadrin-Chenevert (Author), An Tang (Author), Emmanuel Montagnon (Author), Carl Chartrand-Lefebvre (Author), Michaël Chassé (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2023-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Les aînés de la Première Nation Malécite du Mataqaskiye (Madawaska), une communauté bien branchée à leur santé
by: France Chassé, et al.
Published: (2022) -
Traduction et validation du Fear Survey Schedule for Children - Revised (FSSC-R) auprès d'enfants québécois francophones d'âge scolaire
by: Lyse Turgeon, et al.
Published: (2005) -
Interpreters
by: Van Vechten, Carl, 1880-1964 -
Content of a wound care mobile application for newly graduated nurses: an e-Delphi study
by: Julie Gagnon, et al.
Published: (2024) -
Parents' management of adolescent patients' postoperative pain after discharge: A qualitative study
by: William Dagg, et al.
Published: (2020)