ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis
Titel:
ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis
Auteur:
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