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.
- DOI
- 10.1186/s13054-021-03487-8
- Published
- 2021 Feb 15
- Container
- Critical care (London, England)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1186/s13054-021-03487-8,
title = {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.},
author = {Rodríguez A and Ruiz-Botella M and Martín-Loeches I and Jimenez Herrera M and Solé-Violan J and Gómez J and Bodí M and Trefler S and Papiol E and Díaz E and Suberviola B and Vallverdu M and Mayor-Vázquez E and Albaya Moreno A and Canabal Berlanga A and Sánchez M and Del Valle Ortíz M and Ballesteros JC and Martín Iglesias L and Marín-Corral J and López Ramos E and Hidalgo Valverde V and Vidaur Tello LV and Sancho Chinesta S and Gonzáles de Molina FJ and Herrero García S and Sena Pérez CC and Pozo Laderas JC and Rodríguez García R and Estella A and Ferrer R and COVID-19 SEMICYUC Working Group},
year = {2021},
journal = {Critical care (London, England)},
doi = {10.1186/s13054-021-03487-8},
url = {https://doi.org/10.1186/s13054-021-03487-8}
}RIS
TY - JOUR TI - 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. AU - Rodríguez A AU - Ruiz-Botella M AU - Martín-Loeches I AU - Jimenez Herrera M AU - Solé-Violan J AU - Gómez J AU - Bodí M AU - Trefler S AU - Papiol E AU - Díaz E AU - Suberviola B AU - Vallverdu M AU - Mayor-Vázquez E AU - Albaya Moreno A AU - Canabal Berlanga A AU - Sánchez M AU - Del Valle Ortíz M AU - Ballesteros JC AU - Martín Iglesias L AU - Marín-Corral J AU - López Ramos E AU - Hidalgo Valverde V AU - Vidaur Tello LV AU - Sancho Chinesta S AU - Gonzáles de Molina FJ AU - Herrero García S AU - Sena Pérez CC AU - Pozo Laderas JC AU - Rodríguez García R AU - Estella A AU - Ferrer R AU - COVID-19 SEMICYUC Working Group PY - 2021 JO - Critical care (London, England) DO - 10.1186/s13054-021-03487-8 UR - https://doi.org/10.1186/s13054-021-03487-8 ER -
APA
A, R., M, R., I, M., M, J. H., J, S., J, G., M, B., S, T., E, P., E, D., B, S., M, V., E, M., A, A. M., A, C. B., M, S., M, D. V. O., JC, B., L, M. I., J, M., E, L. R., V, H. V., LV, V. T., S, S. C., FJ, G. D. M., S, H. G., CC, S. P., JC, P. L., R, R. G., A, E., R, F., & Group, C. S. W. (2021). 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.. Critical care (London, England). https://doi.org/10.1186/s13054-021-03487-8
Source records
- pubmed · retrieved 2026-09-25T13:43:45.400Z