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1 Ergebnisse
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Deploying unsupervised clustering analysis to derive clinic..:
on behalf of COVID-19 SEMICYUC Working Group
;
Rodríguez, Alejandro
;
Ruiz-Botella, Manuel
...
Critical Care. 25 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1186/s13054-021-03487-8
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=cr-10.1186_s13054-021-03487-8&Exemplar=1&LAN=DE A1 on behalf of COVID-19 SEMICYUC Working Group A1 Rodríguez, Alejandro A1 Ruiz-Botella, Manuel A1 Martín-Loeches, Ignacio A1 Jimenez Herrera, María A1 Solé-Violan, Jordi A1 Gómez, Josep A1 Bodí, María A1 Trefler, Sandra A1 Papiol, Elisabeth A1 Díaz, Emili A1 Suberviola, Borja A1 Vallverdu, Montserrat A1 Mayor-Vázquez, Eric A1 Albaya Moreno, Antonio A1 Canabal Berlanga, Alfonso A1 Sánchez, Miguel A1 del Valle Ortíz, María A1 Ballesteros, Juan Carlos A1 Martín Iglesias, Lorena A1 Marín-Corral, Judith A1 López Ramos, Esther A1 Hidalgo Valverde, Virginia A1 Vidaur Tello, Loreto Vidaur A1 Sancho Chinesta, Susana A1 Gonzáles de Molina, Francisco Javier A1 Herrero García, Sandra A1 Sena Pérez, Carmen Carolina A1 Pozo Laderas, Juan Carlos A1 Rodríguez García, Raquel PB Springer Science and Business Media LLC YR 2021 SN 1364-8535 JF Critical Care VO 25 IS 1 LK http://dx.doi.org/https://doi.org/10.1186/s13054-021-03487-8 DO https://doi.org/10.1186/s13054-021-03487-8 SF ELIB - SuUB Bremen
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