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

Márcio Soares(University of Copenhagen), Dieter E. S. Araya(Hospital Santa Luzia), Lunna Perdigão Borges(D’Or Institute for Research and Education), Thiago Lisboa(Hospital de Clínicas de Porto Alegre), Marcus Antônio Ferez(Clinics Hospital of Ribeirão Preto), Lucas Petri Damiani(Hospital Israelita Albert Einstein), Marcelo S. Santino(D’Or Institute for Research and Education), Thiago Domingos Corrêa(Hospital Israelita Albert Einstein), Marcos Freitas Knibel, Luciano César Pontes Azevedo(Universidade de São Paulo), Bruno Adler Maccagnan Pinheiro Besen(Instituto Evandro Chagas), Alexandre Carvalho, Jorge I. Salluh(Universidade Federal do Rio de Janeiro), Fernando A. Bozza(D’Or Institute for Research and Education), Jeremy M. Kahn(University of Pittsburgh), Ulisses O. Melo(D’Or Institute for Research and Education), Fernando G. Zampieri(University of Alberta), Eliana Bernadete Caser(Universidade Federal do Espírito Santo), Roberto Costa(D’Or Institute for Research and Education), William N. Viana(D’Or Institute for Research and Education), Derek C. Angus(University of Pittsburgh), Marcelo O. Maia(Hospital Santa Luzia)
Intensive Care Medicine
October 8, 2019
Cited by 90


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