Springer Nature
Browse
13054_2021_3487_MOESM1_ESM.docx (2.06 MB)

Additional file 1 of Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2022 critically ill patients with COVID-19 in Spain

Download (2.06 MB)
journal contribution
posted on 2021-02-16, 04:59 authored by Alejandro Rodríguez, Manuel Ruiz-Botella, Ignacio Martín-Loeches, María Jimenez Herrera, Jordi Solé-Violan, Josep Gómez, María Bodí, Sandra Trefler, Elisabeth Papiol, Emili Díaz, Borja Suberviola, Montserrat Vallverdu, Eric Mayor-Vázquez, Antonio Albaya Moreno, Alfonso Canabal Berlanga, Miguel Sánchez, María del Valle Ortíz, Juan Carlos Ballesteros, Lorena Martín Iglesias, Judith Marín-Corral, Esther López Ramos, Virginia Hidalgo Valverde, Loreto Vidaur Vidaur Tello, Susana Sancho Chinesta, Francisco Javier Gonzáles de Molina, Sandra Herrero García, Carmen Carolina Sena Pérez, Juan Carlos Pozo Laderas, Raquel Rodríguez García, Angel Estella, Ricard Ferrer
Additional file 1. Supplementary online content.

Funding

Fundación Privada Barri Casanovas

History

Usage metrics

    Critical Care

    Categories

    Keywords

    Severe SARS-CoV-2 infectionPhenotypesRisk factorsPrognosisMachine learning

    Licence

    CC BY + CC0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC