Código QR (código de barras bidimensional)

External validation of unsupervised COVID-19 clinical phenotypes and their prognostic impact

AbstractBackground Hospitalized patients with coronavirus disease 2019 (COVID-19) can be classified into different clinical phenotypes based on their demographic, clinical, radiology, and laboratory features. We aimed to validate in an external cohort of hospitalized COVID-19 patients the prognostic...

Fuld beskrivelse

Na minha lista:
Principais autores: Daniele Roberto Giacobbe, Emilio Di Maria, Alberto Stefano Tagliafico, Martina Bavastro, Carlo Simone Trombetta, Cristina Marelli, Gabriele Di Meco, Greta Cattardico, Sara Mora, Alessio Signori, Antonio Vena, Malgorzata Mikulska, Chiara Dentone, Bianca Bruzzone, Bianca Bignotti, Andrea Orsi, Chiara Robba, Lorenzo Ball, Iole Brunetti, Denise Battaglini, Antonio Di Biagio, Maria Pia Sormani, Paolo Pelosi, Mauro Giacomini, Giancarlo Icardi, Matteo Bassetti
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2023-12-01
Serier:Annals of Medicine
Fag:
COVID-19
SARS-CoV-2
phenotypes
pandemic
unsupervised clustering
external validation
Online adgang:https://www.tandfonline.com/doi/10.1080/07853890.2023.2195204
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker