Critically ill COVID-19 phenotypes identified by unsupervised clustering: A multicenter retrospective ICU study
Heart and Lung · Published 2026-07-29 · DOI 10.1016/j.hrtlng.2026.102901
Authors (9)
Y. Zerbib, M. Carpentier, C Van Derbeken, O Bonef, A Michaud, M. Slama, C. Brault, F Tamion, J Maizel
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Publication details
- Year
- 2026
Citation
Zerbib, Y., Carpentier, M., Derbeken, C., et al. (2026). Critically ill COVID-19 phenotypes identified by unsupervised clustering: A multicenter retrospective ICU study. Heart and Lung. https://doi.org/10.1016/j.hrtlng.2026.102901
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