Your browser doesn't support javascript.
loading
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands.
Vagliano, I; Brinkman, S; Abu-Hanna, A; Arbous, M S; Dongelmans, D A; Elbers, P W G; de Lange, D W; van der Schaar, M; de Keizer, N F; Schut, M C.
Afiliação
  • Vagliano I; Department of Medical Informatics, Amsterdam University Medical Centers, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
  • Brinkman S; Department of Medical Informatics, Amsterdam University Medical Centers, Amsterdam Public Health research institute and National Intensive Care Evaluation (NICE) foundation, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
  • Abu-Hanna A; Department of Medical Informatics, Amsterdam University Medical Centers, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
  • Arbous MS; Department of Intensive Care, Leiden University Medical Center, Leiden, the Netherlands.
  • Dongelmans DA; Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
  • Elbers PWG; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • de Lange DW; Department of Intensive Care Medicine and Dutch Poisons Information Center (DPIC), University Medical Center Utrecht, University Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands.
  • van der Schaar M; The Alan Turing Institute, University of California and University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, United Kingdom.
  • de Keizer NF; Department of Medical Informatics, Amsterdam University Medical Centers, Amsterdam Public Health research institute and National Intensive Care Evaluation (NICE) foundation, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
  • Schut MC; Department of Medical Informatics, Amsterdam University Medical Centers, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands. Electronic address: m.c.schut@amsterdamumc.nl.
Int J Med Inform ; 160: 104688, 2022 04.
Article em En | MEDLINE | ID: mdl-35114522

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triagem / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triagem / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Int J Med Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda