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ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis von Zampieri, Fernando G., Salluh, Jorge I. F., Azevedo, Luciano C. P., Kahn, Jeremy M., Damiani, Lucas P., Borges, Lunna P., Viana, William N., Costa, Roberto, Corrêa, Thiago D., Araya, Dieter E. S., Maia, Marcelo O., Ferez, Marcus A., Carvalho, Alexandre G. R., Knibel, Marcos F., Melo, Ulisses O., Santino, Marcelo S., Lisboa, Thiago, Caser, Eliana B., Besen, Bruno A. M. P., Bozza, Fernando A., Angus, Derek C., Soares, Marcio
Veröffentlicht in Intensive care medicine
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