Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study.

Åkerlund, Cecilia A I; Holst, Anders; Stocchetti, Nino; Steyerberg, Ewout W; Menon, David K; Ercole, Ari; Nelson, David W

Åkerlund, Cecilia A I; Holst, Anders; Stocchetti, Nino; Steyerberg, Ewout W; Menon, David K; Ercole, Ari; Nelson, David W.

Afiliação

Åkerlund CAI; Section of Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden. cecilia.akerlund@ki.se.
Holst A; School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. cecilia.akerlund@ki.se.
Stocchetti N; School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Steyerberg EW; Neuroscience Intensive Care Unit, Department of Pathophysiology and Transplants, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Menon DK; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Ercole A; Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.
Nelson DW; Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK.

Crit Care ; 26(1): 228, 2022 07 27.

Article em En | MEDLINE | ID: mdl-35897070

Assuntos

Lesões Encefálicas Traumáticas; Lesões Encefálicas Traumáticas/terapia; Análise por Conglomerados; Cuidados Críticos; Escala de Coma de Glasgow; Humanos; Prognóstico

Palavras-chave

Critical care; Endotypes; Intensive care unit; Machine learning; Traumatic brain injury; Unsupervised clustering

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lesões Encefálicas Traumáticas Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Crit Care Ano de publicação: 2022 Tipo de documento: Article

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