Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis

BACKGROUND: Multiple 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 secondar...

Descripción completa

Detalles Bibliográficos
Autores principales: Yamga, Eric, Mullie, Louis, Durand, Madeleine, Cadrin-Chenevert, Alexandre, Tang, An, Montagnon, Emmanuel, Chartrand-Lefebvre, Carl, Chassé, Michaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128042/
https://www.ncbi.nlm.nih.gov/pubmed/37114183
http://dx.doi.org/10.3389/fdgth.2023.1142822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128042/
https://www.ncbi.nlm.nih.gov/pubmed/37114183
http://dx.doi.org/10.3389/fdgth.2023.1142822

Ejemplares similares